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Grow With Us

We are looking for a highly technical, customer-obsessed, and execution-driven Forward Deployed Engineer (FDE) to bridge the gap between Workstream's product platform and our customers' most complex operational challenges.

In this role, you will operate at the intersection of engineering, product, and customer deployment-embedding deeply with strategic customers to design, build, and deploy high-impact technical solutions that drive measurable business outcomes. You will own end-to-end deployments from discovery and technical scoping through implementation, iteration, and scaled adoption.

This is a high-ownership role for engineers who thrive in ambiguity, move quickly from prototype to production, and want to solve real-world business problems rather than just build in abstraction. You will work directly with customers, internal product and engineering teams, and executive stakeholders to shape deployment strategy while identifying reusable patterns that influence Workstream's broader platform roadmap. This structure mirrors leading forward-deployed models where engineers embed closely with customers, ship quickly, and feed field insights back into core product development.

This is a full-time, hybrid role requiring presence 3 days a week in our Menlo Park office to foster close collaboration with cross-functional teams. 

This is not traditional software engineering, sales engineering, or implementation support. Forward Deployed Engineers at Workstream act more like startup operators or technical mini-GMs for strategic deployments-owning customer outcomes, shipping production systems quickly, and shaping the future product through execution. The best candidates are engineers who want to build, deploy, and influence product direction simultaneously.

Day In The Life

• Own technical delivery across strategic customer deployments from initial discovery through production launch and long-term adoption
• Embed closely with enterprise customers to understand workflows, operational pain points, and technical requirements
• Scope, architect, and build custom solutions, integrations, workflows, and product extensions that deliver measurable customer value
• Write production-grade code across backend, frontend, APIs, integrations, or automation layers as needed to accelerate deployment
• Translate ambiguous customer problems into structured technical roadmaps and execution plans
• Partner cross-functionally with Product, Engineering, Sales, Customer Success, and Leadership to align deployments with business priorities
• Make trade-offs between speed, scope, scalability, and productization while protecting customer outcomes
• Identify repeatable deployment patterns and convert one-off customer solutions into scalable product capabilities
• Serve as a strategic technical advisor to customers, helping shape adoption, implementation strategy, and long-term success
• Surface field learnings, customer pain points, and deployment insights back to Workstream's core product roadmap

Who You Are

• 4+ years of experience in robotics, computer vision, machine learning, data science or model building
• Strong full-stack technical capability (Python, JavaScript/TypeScript, APIs, SQL, integrations, or similar)
• Proven ability to own and deliver complex technical projects in ambiguous, fast-moving environments
• Experience working directly with customers or external stakeholders on technical implementations
• Exceptional problem-solving skills with a bias toward action and first-principles thinking
• Ability to move quickly from prototype to production while maintaining quality
• Strong communication and stakeholder management skills across technical and non-technical audiences
• High ownership mindset with pride in end-to-end accountability
• Comfort balancing immediate customer needs with long-term scalable product thinking

• Experience in HR tech, SaaS, payroll, hiring, or workforce management platforms
• Background in forward deployed engineering, solutions architecture, implementation engineering, or technical consulting
• Experience building integrations, workflow automation, or AI-powered operational tools
• Familiarity with enterprise deployments, APIs, data pipelines, or systems architecture
• Previous experience at high-growth startups, Palantir-style deployment teams, or customer-facing product engineering organizations

What We Offer

• A mission-driven and value-based company dedicated to empower deskless workers and local businesses
• An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
• Competitive salary and equity
• Comprehensive health coverage: medical, dental, and vision. We pay 95% of your premiums for our employees and 85% for dependents
• In office amenities and stocked kitchen
• 401K Plan 
• Pre-tax commuter benefits
• Flexible PTO

Salary Range

In compliance with the California Pay Transparency Law, the base salary range for this role is between $150,000 to $180,000 base in Menlo Park. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.