We’re building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn’t just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That’s where this role comes in.
We are a well-funded, early-stage startup looking for a Frontend Engineer to join our team. You’ll own the experience our customers see and use every day, turning powerful AI agents into a product that feels simple, intuitive and beautiful. If you’ve shipped a customer-facing platform, care about every pixel and interaction, and believe great UX is what makes complex technology usable, we’d love to meet you.
This is an opportunity to shape the look, feel and user experience of a next-generation AI platform used by large enterprises, from the very first version.
Your Impact
Product & User Experience
Own the frontend of our customer-facing platform, from first concept to production.
Build modern, polished and responsive interfaces that let users interact seamlessly with AI agents and automated workflows.
Create dashboards, workflow builders and visualization tools that make complex AI processes clear, trustworthy and easy to follow in real time.
Bring a sharp eye for UX/UI, catching the details that turn a working feature into a great experience.
Partner closely with product and design to translate complex AI capabilities into simple, elegant user flows.
Use customer feedback and real usage to continuously improve the product experience.
Frontend Engineering
Build a scalable, high-quality frontend architecture and a reusable component system.
Handle real-time updates, event streams and notifications so users always know what their agents are doing.
Present AI-generated data in clean, user-friendly formats and visualizations.
Work with backend APIs (REST/GraphQL) and contribute to the API layer when needed.
Team Collaboration & Culture
Work closely with AI engineers, product designers and enterprise customers to align the product with real business needs.
Participate in code reviews, architecture discussions and feature planning.
Help shape our engineering culture and set the bar for product quality as part of the founding team.
What It Takes
Experience
5+ years of frontend engineering experience.
Proven track record building and shipping customer-facing products or platforms used by real users in production.
A strong eye for design and UX, with a portfolio or examples of products you’re proud of.
Experience in early-stage startups or data-heavy / AI-driven products is a big plus.
Technical Skills
Deep expertise in React (Svelte is a bonus) and TypeScript.
Strong command of JavaScript, HTML and CSS, including responsive design, animations and accessibility.
Experience building design systems or component libraries.
Experience with data visualization and real-time UIs.
Good understanding of REST/GraphQL APIs. Node.js experience is a plus.
Familiarity with CI/CD, testing and frontend performance optimization.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer to join our founding team. The focus of this role is to design, develop, and deploy autonomous AI agents that can automate and optimize complex enterprise workflows. You will work on building intelligent systems capable of decision-making, data extraction, document processing, and other tasks typically requiring human intervention. This is an opportunity to influence the architecture and strategy of AI-driven automation solutions for large-scale enterprise environments.
AI Agent Development
Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.
Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.
AI Integration
Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).
Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.
Data Processing and Pipelines
Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.
Optimize data handling to improve speed and accuracy of AI agents.
Security and Compliance
Implement authentication and authorization mechanisms to secure AI-driven systems.
Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.
Cloud Infrastructure and Scalability
Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.
Leverage containerization (Docker, Kubernetes) for efficient deployment and management.
Testing and Optimization
Develop and execute unit, integration, and performance tests for AI-driven systems.
Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.
Collaboration
Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.
Participate in code reviews, design discussions, and architecture planning to drive innovation.
Experience
5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.
Proven track record of deploying AI models or agents in production environments.
Technical Skills
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Experience deploying large scale production applications on AWS, GCP, or Azure.
Security: Understanding of OAuth2, JWT, and best practices for securing systems.
AI Frameworks: Experience with TensorFlow, PyTorch, or Hugging Face.
Experience with RPA (Robotic Process Automation) tools
Familiarity with graph databases (Neo4j) for managing complex workflows.
Familiarity with Go and Rust
Experience with CI/CD pipelines and DevOps practices.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup, looking for a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations.
AI Agent Development
Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows.
Workflow Automation
Build machine learning pipelines to automate content-heavy processes for enterprise businesses.
Model Optimization
Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.
Collaboration
Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations.
Evaluation & Testing
Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios.
Experience
5+ years of experience as a software engineer or data scientist building production systems.
2+ years of experience with large language models and NLP techniques.
Background in developing AI agents for content heavy tasks.
Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models.
Technical Skills
Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch.
Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization.
Experience with model grounding techniques, retrieval-augmented generation (RAG), and deploying robust AI models in production environments.
Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
Understanding of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup, building our Founding Account Executive team to build and own our enterprise sales motion from the ground up. This role is ideal for a hands-on seller who thrives in early-stage environments, is comfortable creating structure where none exists, and can work closely with founders, product, and R&D to close complex, AI-driven enterprise deals.
You will own the full sales cycle, from prospecting, initial discovery and qualification through Proof of Value, procurement, and close while helping define how sales scales as the company grows.
Enterprise Discovery & Deal Qualification
Own early-stage discovery conversations with prospective customers to deeply understand their operational processes, pain points, and success metrics.
Qualify opportunities based on customer need, technical fit, budget, and buying readiness.
Translate customer challenges into compelling, value-driven solution narratives in partnership with Solution Engineering and R&D.
Pipeline Generation & Territory Ownership
Build and manage your own pipeline through outbound, inbound, and partner-driven opportunities.
Develop target account lists, ideal customer profiles, and account strategies for the US market.
Establish early sales playbooks for prospecting, qualification, and deal progression.
Proof of Value (PoV) & Deal Execution
Lead PoV engagements from a commercial perspective, defining success criteria, timelines, and stakeholder alignment.
Coordinate internal teams (Solution Engineering, R&D, Product) to ensure PoVs stay focused on business outcomes that drive deal closure.
Maintain deal momentum through complex, multi-stakeholder buying processes.
Experience
5+ years of experience in enterprise sales, account executive, focused on Finance, Compliance, Supply Chain or other Business Operations functions.
Proven track record of closing complex, enterprise deals, ideally involving AI, SaaS, or enterprise platforms.
Experience owning the full sales cycle from prospecting to close.
Strong discovery, storytelling, and executive-level communication skills.
Ability to sell into technical and operational stakeholders simultaneously.
Comfort working in ambiguous, early-stage environments and building processes from scratch.
Experience collaborating closely with product, engineering, and technical teams.
Background selling AI-driven, automation, RPA, or workflow platforms.
Experience running or coordinating Proof of Value / pilot programs as part of enterprise sales cycles.
Familiarity with enterprise systems such as ERP, TMS, CRM, or email platforms.
Experience selling into regulated or security-conscious enterprises.
Prior experience as a first sales hire or early GTM leader at a startup.
The expected salary for this role is $280,000 to $350,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, but those outside the salary band are welcome to apply.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup growing our Value Engineering team. This role is for a hands-on, technically sharp builder who moves fast, is savvy with AI tools, and uses them to work smarter across the deal cycle. You’ll work closely with founders, Product, and R&D to win complex enterprise deals.
You’ll own the technical side of the sales cycle, from discovery through Proof of Value and close, while helping shape how our presales function scales.
Technical Discovery and Solution Design
Lead technical discovery with prospects to understand workflows, requirements, and success criteria
Translate business problems into scalable AI-driven solutions
Act as a trusted advisor throughout the sales cycle
Demos and Proof of Concept
Build tailored demos that reflect real customer workflows
Run end-to-end POCs to validate fit and business value
Communicate technical architecture and expected outcomes clearly
Sales Support
Own RFP and RFI responses
Support architecture, integration, and security discussions
Partner with Sales to drive deals forward and differentiate Reindeer
Cross-functional Collaboration
Turn customer requirements into actionable product feedback
Work with R&D for clean presales-to-implementation handoffs
Help build repeatable solution patterns and a presales playbook
5+ years in Sales Engineering or Presales or Value Engineering
Experience with enterprise customers and complex sales cycles
Strong ability to translate customer needs into technical solutions
Hands-on skills with demos, prototypes, APIs, integrations, or system architecture
Excellent communication and presentation skills
Solid understanding of AI concepts and enterprise applications
High adoption of modern AI tools in daily work
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
The expected salary for this role is $200,000 to $260,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.
","descriptionPlain":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.\n\nWe believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.\n\n \n\nWe are a well-funded, early-stage startup growing our Value Engineering team. This role is for a hands-on, technically sharp builder who moves fast, is savvy with AI tools, and uses them to work smarter across the deal cycle. You’ll work closely with founders, Product, and R&D to win complex enterprise deals.\nYou’ll own the technical side of the sales cycle, from discovery through Proof of Value and close, while helping shape how our presales function scales.\n\n\n\n\nYOUR IMPACT\n\nTechnical Discovery and Solution Design\n\n - Lead technical discovery with prospects to understand workflows, requirements, and success criteria\n\n - Translate business problems into scalable AI-driven solutions\n\n - Act as a trusted advisor throughout the sales cycle\n\nDemos and Proof of Concept\n\n - Build tailored demos that reflect real customer workflows\n\n - Run end-to-end POCs to validate fit and business value\n\n - Communicate technical architecture and expected outcomes clearly\n\nSales Support\n\n - Own RFP and RFI responses\n\n - Support architecture, integration, and security discussions\n\n - Partner with Sales to drive deals forward and differentiate Reindeer\n\nCross-functional Collaboration\n\n - Turn customer requirements into actionable product feedback\n\n - Work with R&D for clean presales-to-implementation handoffs\n\n - Help build repeatable solution patterns and a presales playbook\n\n\n\n\nWHAT IT TAKES\n\n - 5+ years in Sales Engineering or Presales or Value Engineering\n\n - Experience with enterprise customers and complex sales cycles\n\n - Strong ability to translate customer needs into technical solutions\n\n - Hands-on skills with demos, prototypes, APIs, integrations, or system architecture\n\n - Excellent communication and presentation skills\n\n - Solid understanding of AI concepts and enterprise applications\n\n - High adoption of modern AI tools in daily work\n\n\n\n\nNICE TO HAVE\n\n - Experience with process mining, workflow mapping, or operational analytics\n\n - Familiarity with enterprise platforms\n\n - Financial services industry experience\n\n\n\n\nCOMPENSATION\n\nThe expected salary for this role is $200,000 to $260,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"145cc2ce-8b57-4a40-9635-a950f978e36c","title":"Strategic Account Manager","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-16T05:50:06.677+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"119 West 24th Street, 4th Floor","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/reindeer-ai/145cc2ce-8b57-4a40-9635-a950f978e36c","applyUrl":"https://jobs.ashbyhq.com/reindeer-ai/145cc2ce-8b57-4a40-9635-a950f978e36c/application","descriptionHtml":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We're building our Account Management team. This role is for a relationship-driven, commercially sharp operator who moves fast, loves building from scratch, and works closely with founders, Sales, and R&D to grow and retain our enterprise customer base.
This is not a “manage and maintain” role, it’s a high-impact, revenue-owning position working closely with our leadership team, Sales, Product, and R&D to shape how we retain and grow our enterprise customer base and drive best-in-class customer experience.
You'll own the post-sale relationship, from onboarding through renewal and expansion end-to-end, while helping to define how our customer success and account management function scales and operates effectively and efficiently.
Account Ownership and Growth
Own a portfolio of enterprise accounts with full responsibility for revenue retention and expansion
Build and execute multi-year account plans aligned to customer objectives and company growth targets
Lead QBRs and executive engagements to align on customer business outcomes and value
Develop deep understanding of customer operations and identify AI-driven impact opportunities to streamline and transform their business
Advice your enterprise customers on AI initiatives, and business use-cases to use AI agents in their organization to achieve their business goals
Drive expansion, cross-sell and upsell opportunities within existing accounts, across different departments and stakeholders
Act as the primary point of contact and trusted advisor for your customers
Expansion & Revenue Growth
Identify, shape, and close expansion opportunities across business units
Drive cross-sell and upsell with strong ROI positioning
Lead complex negotiations and deal execution
Build internal champions and multi-thread relationships
Retention & Renewals
Own the full renewal cycle including forecasting and close
Identify churn risks early and drive mitigation plans
Communicate clear business value to secure renewals
Onboarding and Adoption
Lead structured onboarding with cross-functional team to ensure fast time-to-value
Monitor adoption and proactively address gaps before they become risks
Partner with Solution Engineering, R&D and Product to support smooth implementation
Cross-functional Collaboration
Translate customer feedback into actionable product insights
Be the voice of customer internally to ensure customer-centric culture
Help build repeatable playbooks for onboarding, QBRs, and renewals
5-8+ years in Account Management, Customer Success, or Sales in enterprise SaaS
Proven quota carrier with clear retention and expansion ownership
Experience managing complex enterprise accounts and multi-stakeholder relationships
Strong negotiation and closing skills - ability to work independently and drive commercial outcomes end-to-end
Executive presence and strong communication skills
Thrives in early-stage environments
Analytical and data-driven mindset
Solid understanding of AI concepts and enterprise applications
Experience in an early-stage or founding role
Specific experience with enterprise platforms or workflow automation
Domain expertise in Financial Services or Supply Chain industries
The expected salary for this role is $220,000 to $290,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, but those outside the salary band are welcome to apply.
","descriptionPlain":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.\n\nWe believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.\n\n\n\nWe're building our Account Management team. This role is for a relationship-driven, commercially sharp operator who moves fast, loves building from scratch, and works closely with founders, Sales, and R&D to grow and retain our enterprise customer base.\n\nThis is not a “manage and maintain” role, it’s a high-impact, revenue-owning position working closely with our leadership team, Sales, Product, and R&D to shape how we retain and grow our enterprise customer base and drive best-in-class customer experience.\n\nYou'll own the post-sale relationship, from onboarding through renewal and expansion end-to-end, while helping to define how our customer success and account management function scales and operates effectively and efficiently.\n\n\n\n\nYOUR IMPACT\n\nAccount Ownership and Growth\n\n - Own a portfolio of enterprise accounts with full responsibility for revenue retention and expansion\n\n - Build and execute multi-year account plans aligned to customer objectives and company growth targets\n\n - Lead QBRs and executive engagements to align on customer business outcomes and value\n\n - Develop deep understanding of customer operations and identify AI-driven impact opportunities to streamline and transform their business\n\n - Advice your enterprise customers on AI initiatives, and business use-cases to use AI agents in their organization to achieve their business goals\n\n - Drive expansion, cross-sell and upsell opportunities within existing accounts, across different departments and stakeholders\n\n - Act as the primary point of contact and trusted advisor for your customers\n\nExpansion & Revenue Growth\n\n - Identify, shape, and close expansion opportunities across business units\n\n - Drive cross-sell and upsell with strong ROI positioning\n\n - Lead complex negotiations and deal execution\n\n - Build internal champions and multi-thread relationships\n\nRetention & Renewals\n\n - Own the full renewal cycle including forecasting and close\n\n - Identify churn risks early and drive mitigation plans\n\n - Communicate clear business value to secure renewals\n\nOnboarding and Adoption\n\n - Lead structured onboarding with cross-functional team to ensure fast time-to-value\n\n - Monitor adoption and proactively address gaps before they become risks\n\n - Partner with Solution Engineering, R&D and Product to support smooth implementation\n\nCross-functional Collaboration\n\n - Translate customer feedback into actionable product insights\n\n - Be the voice of customer internally to ensure customer-centric culture\n\n - Help build repeatable playbooks for onboarding, QBRs, and renewals\n\n\n\n\nWHAT IT TAKES\n\n - 5-8+ years in Account Management, Customer Success, or Sales in enterprise SaaS\n\n - Proven quota carrier with clear retention and expansion ownership\n\n - Experience managing complex enterprise accounts and multi-stakeholder relationships\n\n - Strong negotiation and closing skills - ability to work independently and drive commercial outcomes end-to-end\n\n - Executive presence and strong communication skills\n\n - Thrives in early-stage environments\n\n - Analytical and data-driven mindset\n\n - Solid understanding of AI concepts and enterprise applications\n \n \n\n\nNICE TO HAVE\n\n - Experience in an early-stage or founding role\n\n - Specific experience with enterprise platforms or workflow automation\n\n - Domain expertise in Financial Services or Supply Chain industries\n\n\n\n\nCOMPENSATION \n\nThe expected salary for this role is $220,000 to $290,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, but those outside the salary band are welcome to apply.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"7d6d6d71-ce23-449a-aacb-1bbeaa639448","title":"AI Solutions Engineer (Tel Aviv)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Tel Aviv","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-16T05:49:59.301+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Tel Aviv District","streetAddress":"3 Daniel Frisch st","addressCountry":"Israel","addressLocality":"Tel Aviv"}},"jobUrl":"https://jobs.ashbyhq.com/reindeer-ai/7d6d6d71-ce23-449a-aacb-1bbeaa639448","applyUrl":"https://jobs.ashbyhq.com/reindeer-ai/7d6d6d71-ce23-449a-aacb-1bbeaa639448/application","descriptionHtml":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.
You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.
Customer Onboarding & Process Analysis
Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
Translate findings into clear implementation plans for AI-powered solutions.
Data, AI Models & Workflow Development
Partner with customers to assess data readiness and gather inputs for AI workflows.
Configure and integrate AI components into tailored, AI-driven workflows.
Collaborate with R&D to close data gaps and extend product capabilities when needed.
Deployment & Proof of Value
Own end-to-end solution deployment and ensure models meet performance and business value expectations.
Define success metrics and drive adoption post-launch.
Integration, Security & Rollout
Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
Guide customers through security, compliance, and IT approval processes.
Plan and execute rollout to drive smooth implementation and adoption.
7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking.
Strong analytical skills with the ability to translate business needs into technical solutions.
Strong understanding of AI concepts and their enterprise applications.
High adoption of modern AI tools and workflows.
Experience supporting deployments across cloud environments and enterprise system integrations.
Excellent communication and stakeholder management skills.
Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.
Excellent Hebrew proficiency (daily client communications are in Hebrew)
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.
Infrastructure & Platform
Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.
Build and scale the backend systems that support high-throughput document processing and data extraction workloads.
Cloud Infrastructure and Scalability
Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.
Own containerization and orchestration (Docker, Kubernetes) for all production workloads.
Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.
Data Infrastructure
Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.
Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).
API & Systems Integration
Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.
Design for reliability: retries, observability, and graceful degradation across distributed systems.
Security and Compliance
Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.
Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.
Monitoring and Optimization
Build observability and monitoring systems to track infrastructure health, performance, and cost.
Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.
Collaboration
Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.
Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.
Experience
5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines.
Proven track record of building and scaling infrastructure in production environments.
Technical Skills
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Deep experience deploying and scaling large production applications on AWS, GCP, or Azure.
Containerization and orchestration: Docker, Kubernetes.
Security: Strong understanding of OAuth2, JWT, and best practices for securing distributed systems.
Experience with RPA (Robotic Process Automation) tools.
Familiarity with graph databases (Neo4j) for managing complex workflows.
Familiarity with Go and Rust.
Experience working alongside AI/ML teams using frameworks like TensorFlow, PyTorch, or Hugging Face.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We're a well-funded early-stage startup hiring our first dedicated GTM Talent Acquisition Partner to build our US revenue org from scratch. Ideal for a hands-on, data-driven recruiter who thrives in early-stage chaos and works closely with founders, Sales, and Marketing.
You'll own GTM hiring end-to-end (Sales, Solutions, Marketing) from outreach to offer and onboarding, for roles like AEs, Strategic AMs, AI Solutions Engineers, Value Engineers, and Growth leaders. You'll also build the operational backbone (ATS, pipeline data, scorecards, HM cadences) that makes hiring fast and repeatable. Enterprise AI sales talent is rare and everyone wants it, this role is about winning that talent and proving it through pipeline and quality of hire.
Full-Cycle GTM Recruiting
Own the full lifecycle for GTM roles. Sourcing, screening, interviewing, offer, and onboarding across Sales, Solutions Engineering, and Marketing
Calibrate for the rare profiles who can carry a technical, consultative enterprise sale, not just fill seats
Move fast without dropping quality: keep every search on a clear cadence from kickoff to close
Sourcing & Pipeline
Build strong GTM pipelines from zero using a mix of creative methods - LinkedIn, referrals, communities, events, and your own network of revenue talent
Write outreach that gets replies from people who ignore recruiters
Build for enterprise reality: multi-stakeholder searches and warm, long-game relationships with passive candidates
Hiring Manager & Founder Partnership
Partner with GTM leaders and founders to define role requirements, success criteria, and interview loops that actually predict performance
Act as a true advisor on the New York and US market - comp, talent availability, and what \"great\" looks like for enterprise sales talent
Design onboarding plans that get new GTM hires to first value quickly
Candidate Experience & Employer Brand
Act as an ambassador of Reindeer's brand, culture, and values in every interaction
Help tell our story to a US market that's still meeting us, and turn every candidate, hired or not, into a fan
ATS, Data & Reporting
Own and manage our ATS (Ashby) as the source of truth: clean data, structured scorecards, and tidy pipelines
Track and report recruiting metrics (pipeline, stage conversion, time-to-hire, source quality) and use them to continuously improve process and quality of hire
Run the funnel like an operator: read the data, find the leaks, and fix them
5+ years in full-cycle recruiting, with real GTM / revenue hiring experience (Sales, Solutions/Sales Engineering, Marketing) at a startup or high-growth tech company
In-house recruiting background required (not agency-only)
Proven success owning searches end-to-end and closing competitive candidates independently
A US / New York GTM network and a strong feel for the local market and comp
Creative sourcing and outreach - you build pipelines from scratch
Data-driven and AI-native - A must
Strong ATS chops (Ashby a plus) and comfort owning recruiting metrics and reporting
Excellent communication and stakeholder management with founders and sales leaders
High proficiency in English (native-level for the US market)
The expected salary for this role is $120,000 to $180,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, but those outside the salary band are welcome to apply.
","descriptionPlain":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.\n\nWe believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.\n\n\n\nWe're a well-funded early-stage startup hiring our first dedicated GTM Talent Acquisition Partner to build our US revenue org from scratch. Ideal for a hands-on, data-driven recruiter who thrives in early-stage chaos and works closely with founders, Sales, and Marketing. \n\nYou'll own GTM hiring end-to-end (Sales, Solutions, Marketing) from outreach to offer and onboarding, for roles like AEs, Strategic AMs, AI Solutions Engineers, Value Engineers, and Growth leaders. You'll also build the operational backbone (ATS, pipeline data, scorecards, HM cadences) that makes hiring fast and repeatable. Enterprise AI sales talent is rare and everyone wants it, this role is about winning that talent and proving it through pipeline and quality of hire.\n\n\n\n\nYOUR IMPACT\n\nFull-Cycle GTM Recruiting\n\n - Own the full lifecycle for GTM roles. Sourcing, screening, interviewing, offer, and onboarding across Sales, Solutions Engineering, and Marketing\n\n - Calibrate for the rare profiles who can carry a technical, consultative enterprise sale, not just fill seats\n\n - Move fast without dropping quality: keep every search on a clear cadence from kickoff to close\n\nSourcing & Pipeline\n\n - Build strong GTM pipelines from zero using a mix of creative methods - LinkedIn, referrals, communities, events, and your own network of revenue talent\n\n - Write outreach that gets replies from people who ignore recruiters\n\n - Build for enterprise reality: multi-stakeholder searches and warm, long-game relationships with passive candidates\n\nHiring Manager & Founder Partnership\n\n - Partner with GTM leaders and founders to define role requirements, success criteria, and interview loops that actually predict performance\n\n - Act as a true advisor on the New York and US market - comp, talent availability, and what \"great\" looks like for enterprise sales talent\n\n - Design onboarding plans that get new GTM hires to first value quickly\n\nCandidate Experience & Employer Brand\n\n - Act as an ambassador of Reindeer's brand, culture, and values in every interaction\n\n - Help tell our story to a US market that's still meeting us, and turn every candidate, hired or not, into a fan\n\nATS, Data & Reporting\n\n - Own and manage our ATS (Ashby) as the source of truth: clean data, structured scorecards, and tidy pipelines\n\n - Track and report recruiting metrics (pipeline, stage conversion, time-to-hire, source quality) and use them to continuously improve process and quality of hire\n\n - Run the funnel like an operator: read the data, find the leaks, and fix them\n\n\n\n\nWHAT IT TAKES\n\n - 5+ years in full-cycle recruiting, with real GTM / revenue hiring experience (Sales, Solutions/Sales Engineering, Marketing) at a startup or high-growth tech company\n\n - In-house recruiting background required (not agency-only)\n\n - Proven success owning searches end-to-end and closing competitive candidates independently\n\n - A US / New York GTM network and a strong feel for the local market and comp\n\n - Creative sourcing and outreach - you build pipelines from scratch\n\n - Data-driven and AI-native - A must\n\n - Strong ATS chops (Ashby a plus) and comfort owning recruiting metrics and reporting\n\n - Excellent communication and stakeholder management with founders and sales leaders\n\n - High proficiency in English (native-level for the US market)\n\n\n\n\nCOMPENSATION\n\nThe expected salary for this role is $120,000 to $180,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, but those outside the salary band are welcome to apply.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"bb04157d-ee7f-46af-8d42-377f8189e988","title":"AI Solutions Engineer","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-08T13:26:13.181+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"119 West 24th Street, 4th Floor","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/reindeer-ai/bb04157d-ee7f-46af-8d42-377f8189e988","applyUrl":"https://jobs.ashbyhq.com/reindeer-ai/bb04157d-ee7f-46af-8d42-377f8189e988/application","descriptionHtml":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup, building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.
You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.
Customer Onboarding & Process Analysis
Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
Translate findings into clear implementation plans for AI-powered solutions.
Data, AI Models & Workflow Development
Partner with customers to assess data readiness and gather inputs for AI workflows.
Configure and integrate AI components into tailored, AI-driven workflows.
Collaborate with R&D to close data gaps and extend product capabilities when needed.
Deployment & Proof of Value
Own end-to-end solution deployment and ensure models meet performance and business value expectations.
Define success metrics and drive adoption post-launch.
Integration, Security & Rollout
Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
Guide customers through security, compliance, and IT approval processes.
Plan and execute rollout to drive smooth implementation and adoption.
7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
Strong analytical skills with the ability to translate business needs into technical solutions.
Strong understanding of AI concepts and their enterprise applications.
High adoption of modern AI tools and workflows.
Experience supporting deployments across cloud environments and enterprise system integrations.
Excellent communication and stakeholder management skills.
Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
The expected salary for this role is $180,000 to $230,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.
","descriptionPlain":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.\n\nWe believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.\n\n \n\nWe are a well-funded, early-stage startup, building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.\n\nYou will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.\n\n\n\n\nYOUR IMPACT\n\nCustomer Onboarding & Process Analysis\n\n - Engage with customers post-close to understand workflows, operational processes, and deployment requirements.\n\n - Translate findings into clear implementation plans for AI-powered solutions.\n\nData, AI Models & Workflow Development\n\n - Partner with customers to assess data readiness and gather inputs for AI workflows.\n\n - Configure and integrate AI components into tailored, AI-driven workflows.\n\n - Collaborate with R&D to close data gaps and extend product capabilities when needed.\n\nDeployment & Proof of Value\n\n - Own end-to-end solution deployment and ensure models meet performance and business value expectations.\n\n - Define success metrics and drive adoption post-launch.\n\nIntegration, Security & Rollout\n\n - Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.\n\n - Guide customers through security, compliance, and IT approval processes.\n\n - Plan and execute rollout to drive smooth implementation and adoption.\n\n\n\n\nWHAT IT TAKES\n\n - 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.\n\n - Strong analytical skills with the ability to translate business needs into technical solutions.\n\n - Strong understanding of AI concepts and their enterprise applications.\n\n - High adoption of modern AI tools and workflows.\n\n - Experience supporting deployments across cloud environments and enterprise system integrations.\n\n - Excellent communication and stakeholder management skills.\n\n - Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.\n\n\n\n\nNICE TO HAVE\n\n - Experience with process mining, workflow mapping, or operational analytics\n\n - Familiarity with enterprise platforms\n\n - Financial services industry experience\n\n\n\n\nCOMPENSATION\n\nThe expected salary for this role is $180,000 to $230,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"8464d8c8-59e3-48de-9c57-e48511f17137","title":"SDR Lead (New York)","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-14T15:44:10.089+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"10011","addressRegion":"New York","streetAddress":"119 West 24th Street, 4th Floor","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/reindeer-ai/8464d8c8-59e3-48de-9c57-e48511f17137","applyUrl":"https://jobs.ashbyhq.com/reindeer-ai/8464d8c8-59e3-48de-9c57-e48511f17137/application","descriptionHtml":"We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
You will build Reindeer's sales development function in the US: the team, the playbook, and the system. You own hiring, coaching, messaging quality, and quota attainment.
The sale is technical and multi-stakeholder. Prospecting into it requires reps who can hold a credible conversation about how enterprise teams run a process today, and about how AI is transforming business operations.
Hiring
Define the profile, source candidates, run the interview loop, and onboard new reps. You will scale the team over the next 12 months and own the quality bar for every hire.
Coaching and development
Weekly call reviews, live call coaching, written feedback on outbound copy, ramp plans, and individual performance plans when someone is off pace.
The playbook
Sequences, talk tracks, objection handling, and account research standards. You will write the first version and revise it against what the data shows.
Targets and pacing
Set quarterly qualified-meeting quotas with monthly sub-targets, track pacing weekly, and flag risk early.
Pipeline quality
Work with AEs on qualification gates, handoff standards, and recovery plays for meetings that stall.
Systems and reporting
Partner with marketing ops on HubSpot routing, lead status definitions, meeting tagging, and dashboards, so the team's numbers hold up under scrutiny.
6+ years in B2B SDR or BDR roles, including 2 years leading a team, whether as a manager, team lead, or player-coach.
Enterprise experience specifically: multi-stakeholder deals, sales cycles of six months or longer, and six-figure ACVs.
A track record of hiring and ramping reps, with examples of people you developed and what changed in their performance.
Comfort with a technical product. You can learn how an AI agent handles an accounts payable exception (for example) and explain it to a finance leader without opening a demo.
Fluency with CRM and sequencing tooling, and experience with AI tools for GTM and pipeline generation.
Experience selling AI or automation products, domain exposure to financial services or logistics, and work at a seed or Series A company where the playbook did not exist yet.
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We're building our Account Management team. This role is for a relationship-driven, commercially sharp operator who moves fast, loves building from scratch, and works closely with founders, Sales, and R&D to grow and retain our enterprise customer base.
This is not a “manage and maintain” role, it’s a high-impact, revenue-owning position working closely with our leadership team, Sales, Product, and R&D to shape how we retain and grow our enterprise customer base and drive best-in-class customer experience.
You'll own the post-sale relationship, from onboarding through renewal and expansion end-to-end, while helping to define how our customer success and account management function scales and operates effectively and efficiently.
Account Ownership and Growth
Own a portfolio of enterprise accounts with full responsibility for revenue retention and expansion
Build and execute multi-year account plans aligned to customer objectives and company growth targets
Lead QBRs and executive engagements to align on customer business outcomes and value
Develop deep understanding of customer operations and identify AI-driven impact opportunities to streamline and transform their business
Advice your enterprise customers on AI initiatives, and business use-cases to use AI agents in their organization to achieve their business goals
Drive expansion, cross-sell and upsell opportunities within existing accounts, across different departments and stakeholders
Act as the primary point of contact and trusted advisor for your customers
Expansion & Revenue Growth
Identify, shape, and close expansion opportunities across business units
Drive cross-sell and upsell with strong ROI positioning
Lead complex negotiations and deal execution
Build internal champions and multi-thread relationships
Retention & Renewals
Own the full renewal cycle including forecasting and close
Identify churn risks early and drive mitigation plans
Communicate clear business value to secure renewals
Onboarding and Adoption
Lead structured onboarding with cross-functional team to ensure fast time-to-value
Monitor adoption and proactively address gaps before they become risks
Partner with Solution Engineering, R&D and Product to support smooth implementation
Cross-functional Collaboration
Translate customer feedback into actionable product insights
Be the voice of customer internally to ensure customer-centric culture
Help build repeatable playbooks for onboarding, QBRs, and renewals
5-8+ years in Account Management, Customer Success, or Sales in enterprise SaaS
Proven quota carrier with clear retention and expansion ownership
Experience managing complex enterprise accounts and multi-stakeholder relationships
Strong negotiation and closing skills - ability to work independently and drive commercial outcomes end-to-end
Executive presence and strong communication skills
Thrives in early-stage environments
Analytical and data-driven mindset
Solid understanding of AI concepts and enterprise applications
Native or full professional fluency in German (must have)
Experience in an early-stage or founding role
Specific experience with enterprise platforms or workflow automation
Domain expertise in Financial Services or Supply Chain industries
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.
We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.
We are a well-funded, early-stage startup hiring a Head of AI Solutions Engineering to build and lead our post-sales solution engineering organization. Reporting into COO, you will own technical execution from customer kickoff through design, integration, go-live, optimization, and expansion, leading a growing team across the US, Europe, and MEA.
This is a hands-on, customer-facing leadership role. Your team embeds with our customers’ operations, business functions and IT, solves the hardest technical and workflow challenges, and builds production AI agents that customers can trust and scale. Your mandate is simple: turn ambitious enterprise AI programs into repeatable, high-quality operational outcomes.
Enterprise Delivery & Production Success
Own post-sales solution delivery from implementation planning and paid pilots through production rollout, stabilization, and continuous optimization, with clear accountability for quality and speed to value.
Turn complex operational processes into well-scoped technical plans, success criteria, milestones, and production-ready architectures across business units and systems.
Establish disciplined testing, release management, monitoring, incident response, and escalation practices for business-critical AI workflows.
Solution Architecture, Integrations & Agent Reliability
Lead architecture and integrations with enterprise platforms such as SAP, Oracle, Workday, ServiceNow, email, documents, and customer data environments.
Set the standard for AI agent quality: evaluations, accuracy, observability, exception handling, human oversight, security, and ongoing performance improvement.
Remain genuinely hands-on when needed, diagnosing model behavior, context issues, APIs, data pipelines, and complex integration failures alongside the team.
Adoption, Value Realization & Expansion
Partner with Account Management and Customer Success to grow agent utilization, operational adoption, measurable customer value, and multi-use-case deployment.
Enable customer technical teams and builders to scale confidently through managed, hybrid, and self-service delivery models.
Turn early wins into reusable solutions and repeatable patterns that accelerate the next workflow, business unit, and customer.
Build & Lead a World-Class SE Organization
Recruit, coach, and scale exceptional post-sales Solutions Engineers, creating a culture of technical rigor, ownership, urgency, and customer empathy.
Build playbooks, reference architectures, implementation standards, delivery metrics, and team operating rhythms that improve predictability and throughput.
Manage capacity, priorities, and senior technical coverage across strategic enterprise accounts while developing future leaders.
Executive Partnership, Product & Ecosystem
Serve as the senior technical sponsor for strategic enterprise customers, building trust with IT, operations, and executive stakeholders through complex deployments.
Translate recurring field challenges into actionable priorities for our Product and R&D, helping improve platform reliability, integrations, and scalability.
Establish technical enablement and quality standards for implementation partners as the delivery ecosystem expands.
7+ years in customer-facing technical roles, including 5+ years building or leading post-sales Solutions Engineering, Forward Deployed Engineering, technical Professional Services, or similar teams.
Strong hands-on skills in Python and/or JavaScript/TypeScript, APIs, cloud environments, enterprise architecture, and system integration. You can still build and debug, not just review.
Real-world experience delivering Automation/Agentic-AI/LLM systems into production, including agent orchestration, evaluations, monitoring, failure modes, and human-in-the-loop workflows.
A track record of navigating enterprise complexity: security and compliance, data readiness, cross-functional dependencies, change management, and operational rollout.
Executive presence, excellent communication, and the ability to translate naturally between business outcomes and deep technical details.
A builder’s mindset and the judgment to balance speed with production quality in an early-stage company. Exposure to finance, procurement, supply chain, or enterprise operations is a plus.