Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Own the full funnel from targeted outbound to signed contracts. Partner with forward deployed engineers for technical validation and hand off cleanly to customer success.
Responsibilities
Source and qualify opportunities in enterprise and upper mid-market
Run discovery, map stakeholders, and define problem statements
Orchestrate pilots with success metrics and timelines
Navigate InfoSec, legal, and procurement to close
Maintain accurate CRM and forecast
Requirements
2+ years closing experience in technical B2B software
Clear writing and a structured deal process
Interest in data infrastructure and ML
Nice to have
Experience selling to engineering, data, or security teams
Sponsorship
Sponsorship not available.
Compensation and benefits
Competitive base salary and OTE plus equity, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Design, build, and operate features that power extraction, review, and analytics. Work across the stack and ship measurable product improvements.
Responsibilities
Build backend services in Python and secure APIs
Ship front end features in React and TypeScript for our console and tools
Improve accuracy, latency, and reliability across the extraction pipeline
Write tests, own deployments, and monitor production health
Collaborate with design, ML, and customer-facing teams
Requirements
2+ years building production software, new grads considered
Proficiency in Python or TypeScript, plus SQL
Clear communication and bias to ship
Nice to have
FastAPI, Postgres, Redis, React, AWS
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Design and operate a secure platform for multi-tenant and dedicated VPC deployments. Make provisioning, monitoring, and upgrades simple and predictable.
Responsibilities
Build and maintain Terraform modules and GitHub Actions CI and CD
Operate EKS, autoscaling, ingress, and secrets management
Implement SSO, network controls, and audit logging
Set up logging, metrics, and tracing with clear SLOs
Drive capacity planning and cost optimization
Requirements
4+ years in DevOps or platform engineering
Strong Kubernetes, Terraform, AWS, and Linux fundamentals
Experience supporting security reviews and compliance evidence
Nice to have
GPU workloads, Triton Inference Server, HashiCorp Vault
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Create the specialized vision and language models that power Pulse. You will have autonomy to train and fine-tune models and to ship improvements to production.
Responsibilities
Train and fine tune OCR, layout, table, and vision-language models
Build evaluation, data curation, and active learning pipelines
Optimize inference, batching, and quantization on GPU
Productionize models with clear SLAs and rollback plans
Write internal notes that inform model and product roadmaps
Requirements
3+ years in applied ML or research, or strong open source record
PyTorch or JAX, and modern vision or multimodal architectures
Solid engineering discipline and metrics focus
Nice to have
Triton Inference Server, TensorRT, ONNX, distributed training
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Work directly with strategic customers to deploy Pulse in secure environments and integrate with their systems. Define success criteria, design architectures, and take solutions into production.
Responsibilities
Lead discovery, architecture, and implementation for VPC and on-prem rollouts
Build integrations with S3, Snowflake, Kafka, Databricks, and internal tools
Own performance, reliability, and security for single-tenant environments
Set up monitoring, alerting, and runbooks
Write documentation and train customer teams
Track usage, SLAs, and accuracy, and drive expansion
Requirements
4+ years in software, solutions, or platform engineering
Strong Python, APIs, SQL, and AWS
Experience with containers, Kubernetes, Terraform, and observability
Comfortable with networks, IAM, SSO, and enterprise security reviews
Clear communication; some travel as needed
Nice to have
Deployments in regulated environments
Data pipeline experience
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Specialize in low-latency, high-throughput inference for OCR and multimodal models. Own profiling, batching, and autoscaling across single-tenant and multi-tenant environments.
Responsibilities
Build inference services with smart batching and caching
Optimize kernels, tokenization, and model graphs
Evaluate vLLM, TensorRT LLM, and Triton tradeoffs
Implement autoscaling and admission control with clear SLOs
Own performance dashboards and capacity planning
Requirements
3+ years in performance engineering or ML systems
Strong Python, plus C++ or CUDA exposure
Experience with GPU profiling and model serving
Nice to have
Experience reducing p95 and cost in production ML systems
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
Own front end development for core workflows. Take features from Figma to production and work closely with product, ML, and customer teams.
Responsibilities
Build React components and data visualizations
Create UX for QA, field-level accuracy, and usage analytics
Maintain a design system and accessibility standards
Run user research and ship improvements quickly
Contribute to product copy and documentation
Requirements
3+ years shipping front end products with React and TypeScript
Strong product design instincts and prototyping skills
Ability to work across design and implementation
Nice to have
Figma and d3 or similar charting libraries
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
As a Business Development Representative at Pulse, you will be the first point of contact for enterprises and AI-native teams exploring document intelligence. You will build pipeline from targeted outbound, qualify high-value opportunities, and partner closely with Account Executives and forward deployed engineers to move prospects into pilots. This role is ideal for someone who is disciplined, curious about technical products, and excited to shape the top of the funnel for a fast-growing platform used across finance, insurance, healthcare, and more.
Responsibilities
Build and manage a high-quality top of funnel across enterprise and upper mid-market
Research accounts, identify entry points, and run targeted outbound sequences
Conduct initial qualification to understand workflows, document volume, and constraints
Partner with AEs to develop account strategies and support multi-stakeholder cycles
Maintain clean CRM hygiene across sequences, activities, and qualification notes
Follow emerging trends in document AI, LLMs, and data infrastructure to build credibility in conversations
Requirements
1+ year in a BDR, SDR, sales, or customer-facing role in B2B software
Strong writing, concise communication, and ability to synthesize customer needs
Comfortable speaking with engineering, data, or operations teams
Interest in ML, data infrastructure, and enterprise workflows
High ownership, strong work ethic, and comfort with a fast-paced environment
Nice to have
Experience in enterprise outbound or selling into technical teams
Prior startup experience or early-stage environment
Sponsorship
Sponsorship not available.
Compensation and benefits
Competitive base salary and OTE plus equity, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
As a Solutions Engineer at Pulse, you will partner with Account Executives and prospects to translate complex document-understanding challenges into technical solutions that win and retain business. You will lead solution discovery and design, run technical evaluations and proofs-of-concept, and architect deployments before handing off to implementation teams. This role sits at the intersection of pre-sales, solution architecture, and core engineering.
Responsibilities
Partner with sales to lead technical discovery, qualify opportunities, and map customer requirements to Pulse capabilities using value-based and solution-selling methodology
Design end-to-end solutions that account for the customer's current systems, data flows, and existing infrastructure, identifying integration points and constraints early
Create architecture diagrams and solution designs that support the buying decision and guide implementation
Lead proofs-of-concept and technical evaluations, defining success criteria and tying outcomes to business value (accuracy gains, cost and time savings, risk reduction)
Apply pre-sales consulting best practices to build trust with technical and business stakeholders, including objection handling and tailored technical demos
Own a clean handoff to implementation and deployment teams with documented solution design, architecture, and success criteria
Serve as the technical voice of the customer back to product and engineering, surfacing patterns across deals
Requirements
3+ years in a customer-facing technical role such as solutions or sales engineering, pre-sales, solution architecture, or technical consulting, ideally selling technical or data infrastructure products
Proven ability to lead technical discovery and map customer requirements to product capabilities using value-based and solution-selling methodology
Comfort designing end-to-end solutions and creating architecture diagrams that account for a customer's existing systems, data flows, and infrastructure
Experience running proofs-of-concept and technical evaluations, including defining success criteria and tying outcomes to measurable business value
Strong working knowledge of APIs, integrations, and modern cloud and data infrastructure, enough to architect credible solutions and speak fluently with technical stakeholders
Proficiency in Python or a similar language for prototyping, demos, and technical validation
Excellent presentation and communication skills, with the ability to build trust with both technical and business buyers and to handle objections with confidence
Bias toward ownership and a track record of partnering closely with Account Executives to move deals forward
Nice to have
Familiarity with document processing, OCR, NLP, computer vision, or ML platforms
Experience selling into regulated industries such as finance, healthcare, insurance, or legal
Working knowledge of Kubernetes, Docker, or cloud platforms (AWS, GCP, Azure)
Background in data infrastructure or enterprise SaaS
Sponsorship
Sponsorship available.
Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
As Pulse’s first dedicated Product Marketing hire, you will own how Pulse explains its work to the world. At its core this is a technical writing and communication role: turning what our engineering team builds into clear, precise content for technical audiences across blog posts, social media, product launches, sales materials, and events. This role is ideal for someone who writes exceptionally well, is curious about how document AI systems work, and wants to build a marketing function from the ground up alongside the founders.
Responsibilities
Write and edit technical content: deep-dive blog posts on how our models and pipeline work, benchmark releases, release notes, and customer stories
Run Pulse’s LinkedIn and X presence in a consistent company voice and grow an audience of technical practitioners
Own core messaging and positioning across our priority industries and keep it current as the product evolves
Run product launches end to end, from understanding what shipped to the blog post, landing page, social, and email that announce it
Turn engineering work, evaluations, and customer results into materials the sales team uses: one-pagers, solution briefs, and evaluation guides
Plan and execute Pulse’s presence at industry conferences, executive dinners, and roundtables
Organize Pulse-hosted events that bring the product to life, from customer roundtables and technical meetups to launch showcases, and turn each one into content and proof points afterward
Work in HubSpot and Webflow, and report on inbound interest, content engagement, and share of voice
Requirements
0-4 years in technical writing, content, developer relations, or marketing at a startup or agency; new grads with strong writing and a portfolio of published work are encouraged to apply
Exceptional written communication for technical audiences, with the ability to explain how a system works clearly and without hype
Enough technical fluency to interview engineers, read a benchmark table, and hold your own in conversations with engineering and data teams
Experience writing for social media, or a clear point of view on what works on LinkedIn and X for a technical audience
Bias to ship: a blog post or landing page in hours, not weeks
Nice to have
Experience writing about developer tools, data infrastructure, or AI products
Has grown an audience online through writing
Technical background (computer science, engineering, math, or a quantitative field)
Experience running a launch, content program, or event end to end
Compensation and benefits
Competitive base salary plus equity, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
US-based, with travel to partner sites, customer sites, and our San Francisco office as needed
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
About the Role
As a Partner Development Manager at Pulse, you will help establish and scale the partner ecosystem that puts the Pulse API inside the platforms, data pipelines, and vertical software our customers already use. You will recruit and sign new technology partners, turn our early partner motions into repeatable programs, and drive partner-sourced revenue alongside Account Executives and Solutions Engineers. You will be an early member of the partnerships team and will help shape how Pulse goes to market through partners.
Responsibilities
Recruit and sign technology partners that can embed or integrate the Pulse API where there is a document extraction gap in their platform, data pipeline, or vertical solution
Scope embed and white-label partnerships with partner product and engineering teams, including integration requirements, usage-based pricing, and commercial terms
Own a portfolio of technology, data platform, and marketplace partners, driving partner-sourced pipeline, revenue, and API usage
Build joint go-to-market plans with each partner that define success criteria, target accounts, and shared pipeline goals
Run co-sell motions with partner sales teams, from account mapping and introductions through deal registration and close
Help mature our existing partner motions into repeatable programs, including partner onboarding, enablement, and deal attribution
Partner with Solutions Engineers on integration proofs-of-concept and partner technical validation
Enable Pulse Account Executives on active partners, and enable partner sellers on Pulse use cases, positioning, and pricing
Negotiate partner agreements, revenue share, and commission structures
Maintain accurate partner pipeline, deal attribution, and forecast in CRM
Serve as the voice of our partners back to product and engineering, surfacing integration and roadmap needs
Requirements
5+ years in partnerships, alliances, channel sales, or business development at a B2B software company
Partnerships experience at an API-first, developer platform, or data infrastructure company
Track record of signing new partners and turning them into measurable pipeline and revenue
Experience running co-sell and integration partnerships with data platforms, ISVs, or cloud marketplaces
Strong understanding of partner economics, including referral, revenue share, usage-based, white-label, and marketplace models
Technical fluency with APIs, integrations, and modern data infrastructure, enough to read API documentation, scope an embed, and speak credibly with partner product and engineering teams
Nice to have
Existing relationships across cloud, data platform, or vertical software ecosystems
Experience with partners serving regulated industries such as financial services, insurance, healthcare, or energy
Familiarity with document processing, OCR, NLP, computer vision, or ML platforms
Experience helping establish a partner program at an early-stage company
Sponsorship
Sponsorship not available.
Compensation and benefits
Competitive base salary and OTE plus equity, medical, vision, and dental coverage.