Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We’ve passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs.
Voxel’s perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team.
We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You’ll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers.
Build and maintain training infrastructure that lets the applied ML team train multiple models concurrently, manage experiments, and iterate quickly on new architectures.
Own the train-to-deploy handoff - export trained models to optimized inference formats (TensorRT, ONNX), quantify accuracy and latency impact, and partner with Platform on production deployment.
Establish ML experiment tracking and lifecycle management - pick the right tools (Weights & Biases, MLflow, ClearML, or similar) so researchers can run, compare, and reproduce experiments efficiently.
Establish DevOps-for-ML best practices on AWS (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely.
Understand the infra needs of applied ML/CV engineers and design scalable solutions that support model development.
4+ years of experience building and shipping large scale software solutions.
Hands-on experience building ML training pipelines in PyTorch.
Hands-on experience with ML experiment tracking and lifecycle tools (Weights & Biases, MLflow, ClearML, or similar).
Experience with AWS (S3, EC2, EKS, or similar) for ML workloads.
Strong Python. Write performant code that scales well in production environments.
Track record of owning infrastructure end-to-end: scoping, building, shipping, and improving systems that internal teams depend on.
Bias toward shipping. You'd rather ship something good this week than something perfect next quarter.
Strong communication skills.
Experience with modern ML orchestration tools (Ray, Sematic, Flyte, Metaflow, Prefect, or similar)
Familiarity with GPU performance profiling and optimization (Nsight, PyTorch profiler, or similar)
Background in computer vision model training
Equity through Voxel’s Equity Incentive Plan
Total compensation includes base salary, annual bonus, and equity
Comprehensive health, dental, and vision insurance
Competitive paid parental leave
Unlimited PTO and flexible work arrangements
Daily meals in-office, team events, annual company onsite
Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually.
General Application – Future Opportunities
At Voxel, we’re always looking to connect with talented, mission-driven individuals who are excited about using AI to make the workplace safer and more efficient.
Even if we don’t have a role open today that matches your background, we’d still love to hear from you. We regularly review general applications and reach out when there’s a strong fit with upcoming opportunities across teams like Customer Success, Sales, Engineering, Product, and Operations.
Depending on your background and interests, you could:
Partner with customers to translate AI-driven insights into meaningful operational and safety improvements
Analyze data to identify trends, risks, and opportunities for impact
Build and scale systems, products, or processes that drive real-world outcomes
Support onboarding, implementation, and long-term customer success
Collaborate cross-functionally with Product, Engineering, and Go-To-Market teams
Contribute to playbooks, tools, and best practices as we grow
We’re excited to hear from you if you:
Are passionate about improving safety, operations, or risk through technology
Have experience or interest in areas like engineering, data, product, sales, customer success, safety/EHS, or operations
Enjoy solving complex, real-world problems
Are comfortable working in a fast-paced, collaborative environment
Take ownership and are eager to make an impact
Experience in warehouse, logistics, manufacturing, or industrial environments
Familiarity with AI, computer vision, or SaaS platforms
Background in safety, risk management, or EHS
Experience in a startup or high-growth environment
Strong analytical or technical skillset
When applying, please share:
Your resume or LinkedIn profile
A short note on what types of roles or teams interest you
Anything else you’d like us to know about your experience or goals
Our team reviews general applications on an ongoing basis. If there’s a potential match, we’ll reach out to start a conversation.
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position.
Benefits:
Extensive / generous health, dental, and vision insurance
Highly competitive paid parental leave and support system
Ownership in the business through an Equity Incentive Plan
Generous paid time off and / or flexible work arrangements
Daily meals in-office, vibrant company events, team-building
401K retirement plan, HSA options, pre-tax commuter benefits
Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We’ve passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs.
Voxel’s perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team.
We're hiring a Staff Software Engineer to own ML Infrastructure at Voxel. Our applied ML team is shipping vision models into production every week, across thousands of cameras at Fortune 500 customers, and the infrastructure underneath determines how fast we can move. You'll set the technical direction for how we train, track, and ship vision models, build the foundational systems that the applied ML team relies on, and shape the architectural decisions that will define our ML stack for the next several years.
This is a hands-on role. You'll write code, make architecture calls, and own outcomes end to end. You'll partner closely with applied CV engineers, the ML Data team, and the Platform team, and you'll be the technical voice in the room when ML infrastructure tradeoffs come up.
Set the technical direction for ML infrastructure at Voxel: what we build, what we buy, and how the pieces fit together as the team and model portfolio scale
Architect and build the training infrastructure that lets the applied ML team run multiple experiments concurrently and iterate quickly on new architectures (PyTorch, AWS)
Own the train-to-deploy handoff: export trained models to optimized inference formats (TensorRT, ONNX), quantify accuracy and latency impact, and partner with Platform on production deployment
Pick and roll out the experiment tracking and lifecycle stack (Weights & Biases, MLflow, ClearML, or similar) so researchers can run, compare, and reproduce experiments efficiently
Establish DevOps-for-ML best practices (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely
Mentor engineers across Vision & AI on ML infrastructure best practices, raising the bar for how the org thinks about training, evaluation, and deployment
Anticipate where the infrastructure needs to be in 12 to 18 months, including the upcoming move to on-device inference, and architect for that future
7+ years building and shipping large-scale software systems, with at least 3 years focused on ML infrastructure or large-scale data infrastructure
A track record of being the person who decides the architecture, not just the person who implements it. You've owned tool selection, framework choices, and build-vs-buy calls for systems other engineers depend on
Deep fluency in PyTorch and the modern ML training stack. You know what good experiment tracking looks like, what makes a training pipeline reliable at scale, and where the failure modes live
Strong Python. Performant, maintainable code that holds up in production
A pragmatic shipping orientation. You can tell the difference between architectural decisions that need to be right and ones that can be revisited later, and you don't over-engineer the latter
Strong communication skills. You can explain complex tradeoffs clearly to ML researchers, infra peers, and leadership
Production experience on AWS (S3, EC2, EKS, or similar) for ML workloads
Hands-on experience with model export and inference optimization (TensorRT, ONNX, or similar), including measuring accuracy and latency tradeoffs against training-time baselines
Experience with modern ML orchestration tools (Ray, Sematic, Flyte, Metaflow, Prefect, or similar)
Familiarity with GPU performance profiling and optimization (Nsight, PyTorch profiler, or similar)
Background in computer vision model training
Equity through Voxel’s Equity Incentive Plan
Total compensation includes base salary, annual bonus, and equity
Comprehensive health, dental, and vision insurance
Competitive paid parental leave
Unlimited PTO and flexible work arrangements
Daily meals in-office, team events, annual company onsite
Who Are We
Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually.
We’re seeking an experienced Enterprise Sales Director with a strong track record in B2B technology sales, ideally in SaaS-based EHNS, business insights, or risk management. This role will play a critical part in expanding our presence within operations and safety departments at Fortune 500 companies. The ideal candidate thrives in a fast-paced environment, excels at building and managing strategic relationships, and is passionate about solving complex challenges. You’ll help drive growth across departments and functions, positioning Voxel as a trusted partner in safety.
The Opportunity
We are seeking two highly motivated Enterprise AE's to drive net-new revenue growth across large enterprise accounts.
This is a true hunter role focused on acquiring strategic Fortune 500 customers within manufacturing, logistics, warehousing, transportation, retail distribution, and industrial operations.
The ideal candidate has experience selling complex enterprise software or technology solutions into operations leaders, supply chain executives, safety organizations, manufacturing leaders, or logistics teams. They have consistently closed high-value enterprise deals, built executive-level relationships, and navigated long, multi-stakeholder sales cycles.
You thrive in ambiguity, enjoy building territories from the ground up, and are energized by winning complex, competitive deals.
What You’ll Do
Own the full enterprise sales cycle from prospecting through close
Build and execute strategic territory plans across Fortune 500 organizations
Prospect and generate new opportunities through outbound efforts and executive networking
Develop multi-threaded relationships across Operations, Supply Chain, Safety, Manufacturing, Logistics, IT, Finance, and Executive stakeholders
Lead consultative discovery conversations that uncover operational challenges, safety risks, and business outcomes
Partner with Solutions Engineering, Product, Customer Success, and Executive Leadership throughout the sales process
Create compelling business cases and ROI narratives for large enterprise organizations
Navigate complex procurement, security, legal, and executive approval processes
Maintain accurate forecasting and pipeline management in Salesforce
Serve as a strategic voice of the customer to help influence product and go-to-market strategy
Qualifications
8+ years of enterprise technology sales experience
Demonstrated success selling into Fortune 500 organizations
Proven track record closing complex enterprise deals
Experience managing long sales cycles involving multiple stakeholders and buying committees
Strong experience with account mapping, executive engagement, and multi-threaded sales strategies
Consistent history of meeting or exceeding quota
Experience creating pipeline through outbound prospecting and territory development
Location Requirement: Due to the travel expectations of this role, candidates must reside within reasonable commuting distance of a major commercial airport with access to regular domestic flights. Preference will be given to candidates located within approximately 30 miles of a major airport.
We are especially interested in candidates who have sold solutions related to:
Supply Chain Visibility
Warehouse Management Systems (WMS)
Transportation Management Systems (TMS)
Fleet Telematics
Industrial IoT
Computer Vision
Robotics & Automation
Warehouse Automation
Yard Management
Asset Tracking
Manufacturing Technology
Operations Technology
Safety Technology
Risk Management Platforms
Why Join Us?
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.
Benefits:
Extensive / Generous health, dental, and vision insurance.
Highly competitive paid parental leave and support system.
Ownership in the business through an Equity Incentive Plan.
Generous paid time off and / or flexible work arrangements.
Daily meals in-office, vibrant company events, team-building.
401K retirement plan, HSA / FSA options, pre-tax Commuter Card.
Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur.
Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments.
As a Tier 3 Support Engineer at Voxel, you are the deepest technical escalation point in our support organization, the last line of defense before Engineering. You will own the most complex, high-severity issues across our platform, working at the code and infrastructure level to diagnose root causes and drive permanent fixes. You'll serve as a critical bridge between Support, Engineering, and Product, influencing how we build for reliability and scale.
This role is built for a seasoned engineer who combines deep technical expertise with strong customer instincts and a passion for solving problems others can't.
Own resolution of the most complex, high-severity escalations across Voxel's platform, including issues spanning edge hardware, networking, AI inference, and cloud infrastructure.
Conduct root cause analysis at the code, configuration, and infrastructure level, partnering directly with Engineering to drive permanent fixes.
Act as the authoritative technical escalation point for Tier 2, Customer Success, and Solutions Engineering teams.
Interface directly with enterprise customer IT, security, and engineering stakeholders during critical incidents, providing clear communication and decisive guidance.
Contribute to platform improvements by identifying systemic failure patterns and advocating for engineering investments that reduce support burden.
Define and maintain advanced troubleshooting frameworks, escalation criteria, and internal knowledge resources for the broader support organization.
Drive post-incident reviews and ensure learnings are documented and acted upon across teams.
Participate in on-call rotations for critical escalations and high-priority customer environments.
Required Qualifications
2- 4 years of experience in technical support engineering, site reliability engineering, or a senior infrastructure/platform role.
Deep expertise in networking and systems (TCP/IP, routing, firewalls, VPNs, Linux internals, edge/IoT architectures).
Ability to read and navigate source code (Python, Typescript, Go, and SQL) to diagnose issues and collaborate effectively with engineering teams and push PRs to edit configuration files
Proven track record of owning and resolving high-severity, multi-stakeholder incidents end-to-end.
Strong executive communication skills; able to lead technical bridges with enterprise customers under pressure.
Experience building internal technical documentation, escalation frameworks, or support tooling.
Nice to Have
Hands-on experience with AI/ML inference pipelines, computer vision systems, or video analytics platforms.
Familiarity with cloud infrastructure and observability tooling (AWS/Azure/GCP, Datadog, Grafana, etc.).
Background in warehouse, logistics, manufacturing, or industrial environments.
Relevant certifications (Network+, Security+, AWS Cloud Practitioner).
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position.
Benefits:
Extensive / generous health, dental, and vision insurance
Highly competitive paid parental leave and support system
Ownership in the business through an Equity Incentive Plan
Generous paid time off and / or flexible work arrangements
Daily meals in-office, vibrant company events, team-building
401K retirement plan, HSA options, pre-tax commuter benefits
Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually.
We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges.
Develop and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces.
Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices.
Streamline ML data ingestion, retraining pipelines, and model redeployment workflows.
Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments.
Partner with Sales, Customer Success, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts.
Bachelor's degree in Computer Science, Robotics or a related field.
Software development experience with proficiency in Python, Go-Lang or C++.
Ability to solve complex and open-ended problems
Familiarity with version control systems like Git (e.g., branching, merging, pull requests).
Master’s or PhD in Computer Science, Robotics, or a related field.
Coursework or research in computer vision or machine learning.
1-3 years of experience in software development.
Experience with Docker, Bazel build system and/or AWS cloud services like EKS, S3, ECS
Experience designing large, highly available distributed systems with Kubernetes.
Experience working with monocular cameras - pose estimation, tracking and state estimation, object detection, segmentation.
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.
Extensive / Generous health, dental, and vision insurance.
Highly competitive paid parental leave and support system.
Ownership in the business through an Equity Incentive Plan.
Generous paid time off and / or flexible work arrangements.
Daily meals in-office, vibrant company events, team-building.
401K retirement plan, HSA options, pre-tax Commuter Card.
Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur.
Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments.
As a Tier 2 Support Engineer at Voxel, you will be the critical second line of defense for our enterprise customers, owning complex technical issues that require deeper investigation beyond front-line support. You'll work directly with customers, internal CS teams, and engineering to diagnose problems, drive resolution, and ensure a seamless platform experience across diverse deployment environments.
This role is ideal for a technically strong engineer who enjoys solving ambiguous problems, communicates clearly with customers, and wants to work at the cutting edge of AI-powered computer vision.
Own and resolve escalated technical issues from Tier 1, serving as the primary point of escalation for complex platform, network, and hardware-related problems.
Conduct deep-dive troubleshooting across Voxel's edge AI platform, including device connectivity, camera configurations, network infrastructure, and software behavior.
Collaborate closely with Customer Success Managers to communicate issue status, set expectations, and ensure timely resolution for enterprise accounts.
Reproduce and document bugs, and work with Engineering and Product to prioritize and resolve root causes.
Develop and maintain internal troubleshooting guides, runbooks, and knowledge base articles to improve team efficiency and enable Tier 1 deflection.
Identify patterns in support issues and surface systemic recommendations to improve platform reliability and deployment quality.
Participate in on-call rotations as needed to support critical customer environments.
Required Qualifications
3–5 years of experience in a technical support, systems engineering, or related customer-facing technical role.
Understanding of advanced engineering systems and processes to help debug and route requests based on severity
Solid understanding of networking fundamentals (TCP/IP, firewalls, DNS, DHCP).
Experience troubleshooting Linux-based systems or IoT devices.
Strong written and verbal communication skills; able to explain technical issues clearly to both technical and non-technical stakeholders.
Comfortable working across multiple open issues simultaneously with a high degree of ownership and follow-through.
Nice to Have
Experience supporting AI, computer vision, or video analytics platforms.
Familiarity with cloud infrastructure (AWS, Azure, or GCP).
Background in warehouse, logistics, manufacturing, or industrial environments.
Experience with ticketing and support platforms (Zendesk, Jira, ServiceNow, etc.).
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position.
Benefits:
Extensive / generous health, dental, and vision insurance
Highly competitive paid parental leave and support system
Ownership in the business through an Equity Incentive Plan
Generous paid time off and / or flexible work arrangements
Daily meals in-office, vibrant company events, team-building
401K retirement plan, HSA options, pre-tax commuter benefits
Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur.
Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments.
Reporting directly to the CMO, the Director of Demand Generation is a senior, hands-on leader who owns the full demand engine — strategy and execution. You will build and run integrated, multi-channel programs that generate measurable pipeline across our North American market, with direct ownership of digital marketing, inbound pipeline creation, and account-based experience programs tailored to our industrial ICP segments.
This is not a purely strategic role. We're looking for someone who can architect the demand framework and roll up their sleeves to operate it — writing campaign briefs, managing paid channels, building nurture flows, and pulling performance reports themselves.
Demand Generation Strategy & Execution — Own the North American demand generation plan end-to-end, translating company growth goals into integrated campaign programs across digital, ABM, field events, webinars, and partner channels. Set targets, allocate budget, and hold accountability for pipeline contribution.
Digital Marketing & Inbound Pipeline Ownership — Directly manage and optimize paid search, paid social, SEO/content distribution, and marketing automation to drive inbound pipeline. You will be hands-on in platform execution — building campaigns in HubSpot, managing spend in Google and LinkedIn, and continuously optimizing for CPL, MQL quality, and conversion rates.
ABX Orchestration — Lead account-based experience programs for priority ICP segments across manufacturing, supply chain, warehousing, and logistics. Develop executive engagement programs, industry-specific content plays, and targeted digital sequences that advance strategic accounts.
Partner GTM Support — Execute \"to/through/with\" partner marketing activities aligned to our global partner marketing framework, supporting channel and alliance partners with co-marketing programs and joint demand generation.
Sales & BDR Alignment — Work closely with Sales Development and Field Sales to define lead management SLAs, optimize handoff and follow-up processes, and ensure tight alignment on ICP targeting, messaging, and pipeline attribution.
Data-Driven Performance Management — Own the demand generation reporting framework in partnership with RevOps. Build and maintain dashboards tracking funnel performance, channel efficiency, and pipeline influence — and use that data to make fast, informed optimization decisions.
Team & Budget Leadership — Manage a small but growing team, external agencies, and a meaningful demand gen budget. Hire, develop, and hold the bar on output quality and business impact.
7–10 years of B2B demand generation experience, with at least 3 years in a senior or lead role owning pipeline targets in a high-growth technology company.
Proven operator with hands-on digital marketing chops — you have personally managed paid search and paid social campaigns, built HubSpot workflows, and can diagnose funnel performance at the channel level without relying on an analyst to pull the data for you.
Inbound pipeline builder — demonstrated track record of building inbound engines (SEO, content, paid, automation) that generate consistent, qualified pipeline, not just MQL volume.
ABM fluency — experience running account-based programs using 6sense or equivalent, with a clear point of view on how to tier accounts, personalize outreach, and measure account engagement.
Industrial or enterprise SaaS background preferred — experience marketing complex technology solutions to operations, EHS, risk, or supply chain buyers is a strong differentiator.
Tech stack depth — hands-on proficiency with Salesforce, HubSpot, 6sense, and LinkedIn Campaign Manager. Comfortable owning these tools directly, not just overseeing others who use them.
Why Join Us?
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.
Benefits:
Extensive / Generous health, dental, and vision insurance.
Highly competitive paid parental leave and support system.
Ownership in the business through an Equity Incentive Plan.
Generous paid time off
Daily meals in-office, vibrant company events, team-building.
401K retirement plan, HSA options, pre-tax Commuter Card.
Strong analytical instincts — you make decisions from data, can build a pipeline model in a spreadsheet, and communicate performance clearly to senior stakeholders.
AI-forward mindset — active interest in applying AI tools to accelerate campaign development, audience targeting, content personalization, and channel optimization.