Tessl
Field Engineer (Presales) - Northeast (Boston/NY)
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Senior Field Engineer (AI-Native Software Development)
A founding member of Tessl’s field team, deep in the AI ecosystems and building the future of software development
About Tessl
Fast-growing Series A startup leading the context layer for AI coding agents and enabling AI-native software development. Backed by world-class investors (Index Ventures, Accel, GV, Boldstart), ranked #2 in Sifted EU’s B2B SaaS Rising 100 and #20 in Sifted’s AI 100.
Build with us to shape how we engage customers technically, scale field operations, and bridge cutting-edge AI with engineering workflows.
The Opportunity
We’re hiring an early-stage Field Engineer—someone already immersed in the AI developer ecosystem, building, advocating, and pushing the boundaries of what AI can do in software today.
You’ll blend technical subject matter expertise with sales, I/O, and product feedback—owning the relationship from demos to adoption while collaborating across teams to refine customer experiences.
Key Responsibilities
Define & Scale Field Engineering
- Help establish playbooks, processes, and tools to operationalise an early-stage field function—ensuring it scales efficiently as revenue grows.
- Set the technical standard for customer interactions, from high-level strategy to implementation details.
Drive Sales Cycles with Technical Authority
- Run tailored, developer-focused demos speaking directly to engineering challenges (CTOs → individual contributors).
- Build trust through real-world proficiency in tools like Claude Code, Cursor, GitHub Copilot & Gemini, translating technical intricacies into actionable, compelling stories.
- Navigate multi-stakeholder evaluations and pivotal proof-of-concept phases with clarity.
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Bridge Customer Environments & Technology
- Diagnose workflow blockers: Understand agent tooling, CI/CD pipelines, architecture quirks, and habits—then tailor Tessl’s platform to those realities.
- Work with onboarding teams to ensure customers don’t just adopt our tech—they integrate it into real workflows.
Develop AI-Native GTM Tools
- Build AI-powered playbooks for field motion: automated demo capture, technical qualification tooling, AI-assisted onboarding, and customer insights surfaces.
- Create scripts, runbooks, and processes that save reps time today while training teams strategically.
Drive Product Through Customer Insights
- Act as a **engineering’s voice in the field: track patterns and feedback to inform product roadmap and customer success strategies.
- Collaborate with Product Management to ship directly relevant feature ideas.
Ideal Skills & Experience
The Right Mindset & Background
✅ Builder level: you don’t just read—you prototype
- Experience shipping integrations/tooling in parallel with software development (not as a side task). ✅ Fatal flaw: overconfidence in playbooks
- Comfortable with unchartered waters—visits on ambiguity energise you, not unsettle.
- Field Engineering at Tessl requires clarity of voice across complex expectations.
❌ Professional experience in the technicalgo-to-market (GTM) stack
- 5+ years of Field / Solutions Engineering / Tech Pre-Sales.
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The Right Expertise
🔥 AI/Ecosystem Fluency
- Deeply understands how engineers adopt tools (e.g. Copilot, Cursor, Claude Code) today and how AI will reshape workflows. 🔗 Full Customer Lifecycle Fluency
- Rates as alignment skillset across presale (qualification, POC leadership) and post sale (scaling customer success). 💬 Technical Communication
- Can balance precision with plausible simplicity—articulate ideas to both prominality engineers and governance audiences.
Why Join Tessl?
💰 Equitable salary + pension, plus competitive health insurance. 🏢 Pet-friendly HQ in North London (minutes from King’s Cross). ⚡ Equipment, whiteboarding sessions, social nights—we make sure your contributions are as impactful as they are joyful. 👥 Founders built for equality: Tessl welcomes applications from underrepresented industry backgrounds.
How We Work
Insightful reads:
- [Announcing [Tessl The AI Developer Startup]]: Our mission.
- [Podcast: Guy Podjarny on Context in AI].
Application Process
The process focuses on role-realism:
- Recruiter intro: explore cultural fit and background.
- Leadership chat with Tom (Hiring Manager).
- Technical show: cover in-context field scenarios (scenario-based, not flashy PPT).
- Presentation:
- Drive a deeply familiar (cerebral or technical) topic.
- Sketch fresh insights on how AI solve.
- Final connection: C-suite discussion.
Still unsure if this fits? Apply anyway. We want diverse voices shaping frontline field engineering.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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