
Formant
Remote Jobs
The data platform for robotics companies
4 Jobs
The Role We’re looking for an ambitious early-career full‑stack engineer to help make the Formant platform more reliable, usable, and powerful for customers. You’ll work across our stack on real customer issues, core product development, and internal tooling, with a heavy focus on making our existing platform more reliable and easier to support. This role is ideal for someone who wants to become a strong product engineer by working across the stack on real production problems — from debugging issues to shipping improvements that prevent them from happening again. We’re also looking for someone who is particularly excited about using AI tools to accelerate their work. You’ll collaborate closely with senior engineers and product leaders, gaining deep system context early in your career while contributing meaningful code from day one. This role is intentionally rotational: you’ll start close to customer problems (support and reliability work), then increasingly shift into core product and platform work as you build context. Please include a link to your GitHub in the application What You’ll Do Customer-facing engineering & reliability (initial focus) - Investigate and resolve high‑priority production issues - Debug across the stack with guidance from senior engineers - Identify recurring issues and drive systemic fixes, not only one‑offs Product & platform development - Build and improve features across the full stack (frontend, backend, infra) - Improve documentation, runbooks, and onboarding paths for common scenarios Automation & AI-assisted support - Help build internal AI tooling (agents/chatbots) to handle common support workflows - Improve logs, metrics, and diagnostics to make issues easier to detect and resolve - Proactively reduce support load by making the product and tooling better - Explore unfamiliar codebases or technologies Who You Are - 0–3 years of professional software engineering experience (internships, co-ops, and substantial projects count) - Pragmatic: you can differentiate between “ship the fix” and “refactor the world” - Strong fundamentals in computer science and software design - Comfortable using modern AI-assisted development tools (e.g., coding copilots, LLMs) to improve productivity and learning - Comfortable working on “unsexy” problems (legacy code, tricky edge cases) to earn leverage and context - Communicative and calm under pressure when production issues arise - Curious, pragmatic, and eager to learn quickly - Takes ownership and follows through on problems - You can show your work: a portfolio (GitHub, shipped projects, demos, write-ups) that lets us see your drive, energy, and how you think through real problems You don’t need to know our entire stack — we care more about how you think and learn. Growth & Mentorship This role is designed as a launchpad for strong engineers. You’ll: - Work closely with experienced engineers - Gain exposure to real production systems early - Build both product and platform skills - Take on increasing ownership over time Potential future paths include product engineering, platform engineering, or customer-facing technical roles. Why This Role Is Unique - Your work will directly impact real-world robotics deployments - You’ll learn faster than in large, siloed organizations - You’ll contribute to meaningful features within weeks, not months - You’ll build broad technical depth early in your career Compensation - Salary: ~$110K–$130K depending on experience - Equity in a high-growth Series A startup - Benefits and remote flexibility Please Note: This position is remote, however, Formant only hires employees in the states of: AZ, CA, CO, IL, KS, MA, NC, NY, OK, OR, and PA.
• Map your network to Formant's target account list and identify the fastest paths to qualified conversations. • Open warm doors with VP Operations, General Managers of Fabs and Facilities, and Heads of Smart Manufacturing. • Run executive-level discovery and articulate Formant's value proposition with confidence. • Own the full sales cycle from qualification to contract signing, engaging economic buyers simultaneously. • Hit quarterly pipeline and bookings targets, aiming for $200K+ in new ARR and 3–5 signed deals.
• Support and implement end-to-end AI deployments for customers, from discovery through production rollout • Participate in on-site customer engagements (approximately 25–35% travel) • Work with external stakeholders to translate customer operational needs into technical requirements and working solutions • Troubleshoot and resolve production issues in collaboration with engineering • Help document best practices and implementation playbooks • Build and iterate on LLM-powered workflows, RAG pipelines, and AI-assisted automation tools • Prototype quickly while balancing reliability and performance • Integrate with customer systems and APIs • Navigate real-world physical constraints (latency, connectivity, hardware limitations) • Contribute reusable components that accelerate future deployments • Support existing external customers and resolve their potential issues • Partner with product engineering to relay field feedback and improve platform capabilities • Support technical conversations during customer engagements • Help enable customer teams through documentation and training materials • Contribute insights that shape product roadmap and deployment strategy
• Lead onsite discovery bootcamps with enterprise customers — living in their environment, learning their operations, and surfacing requirements that no requirements doc could capture • Define measurable success metrics and establish clear checkpoints across POC, Pilot, and production deployment • Translate ambiguous operational problems into concrete technical architectures and solution designs • Build genuine buy-in with customer stakeholders at every level — from operators on the floor to engineering leads to executive sponsors • Own end-to-end technical delivery: sales engineering, solution architecture, rapid prototyping, integration with production environments, and full deployment • Build and iterate on LLM-powered workflows, AI-assisted investigation pipelines, and automation tooling that operates under real-world constraints (latency, connectivity, hardware) • Integrate deeply with customer systems, APIs, and existing operational infrastructure • Produce reusable blueprints and integration patterns that accelerate all future deployments • Serve as the primary technical relationship owner for a portfolio of enterprise accounts • Partner with Account Directors to connect technical outcomes to business value and renewal health • Lead executive-level conversations with confidence — translating technical progress into ROI language • Identify expansion opportunities and surface the product gaps that, if closed, unlock the next stage of the engagement • Act as the feedback loop between the field and Formant's product and engineering teams • Identify patterns across engagements and contribute to the evolving playbook, integration library, and deployment frameworks