Product Engineer
Asendia AI
Remote · USFull-time$180–250K/yrSeen 1w agoStill listed 4 days ago
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At a glance
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Job overview
Asendia AI is building AI agents for staffing agencies, including voice interviewers and systems that convert conversations into candidate decisions. The Product Engineer will work across the stack with ownership, shipping features to users quickly. The role focuses on real-time voice agents, reusable interviewer architecture, reliable candidate scoring, agent evaluation, and infrastructure for client-configurable screening workflows.
Skills & qualifications
Skills
Qualifications
Full job description
About Us Asendia AI is rebuilding how the world hires. The global staffing industry is $600B+ and still runs on manual phone calls and gut feelings. We built AI agents that screen, interview, and score candidates 24/7, live, in real time, at a fraction of the cost. We work alongside staffing agencies across the US and Europe who expect speed, accuracy, and scale, and we hold ourselves to the same bar. Already running thousands of AI-powered screens, our agents place candidates within days of going live and cut screening costs by 90%. YC-backed. Seed-stage with years of runway. AI penetration in staffing is still under 1%, and there's no dominant platform yet. We're building it, AI-native from day one. Joining Asendia means three things:
- We lean in: ownership over titles, outcomes over intentions.
- We fight for excellence: high standards, direct, ego-free feedback.
- We build with AI: the best tools, in the product, and in how we ship.
Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar, this is the place. The role As a Product Engineer at Asendia, you'll build the AI agents that are the product, the voice interviewers that talk to thousands of candidates, and the systems that turn those conversations into decisions. You'll work across the stack with real ownership and autonomy, and see your work hit real users the same week you ship it. What you'll be doing:
- Design and ship voice AI agents: real-time phone interviews with sub-300ms latency (LLM orchestration, WebSockets, FastAPI)
- Build the prompt and agent architecture: reusable, multi-vertical interviewer systems, each client customizes their own screening logic, voice personality, compliance rules
- Turn messy voice conversations into structured, reliable candidate scores
- Run evals and reliability work: audit agents across a live fleet, catch regressions, keep behavior consistent at scale
- Build the agentic infrastructure that lets every client spin up and tune their own screening workflows
Who you are
- A passionate engineer who's shipped AI agents end-to-end, not demos, things real users hit
- Fluent with LLMs, prompting, and agent orchestration; you know where models break and how to engineer around it
- You build with AI tools, not around them. Agentic coding is part of how you ship
- Strong in Python and comfortable across the stack; you don't wait on anyone to finish a feature
- High-agency: no docs, no playbook, a client deadline on Friday—you figure it out
- You think about the product, not just code—you understand why a screening flow matters to a recruiter and build accordingly
Bonus: voice/speech systems, real-time streaming, eval frameworks, or prior staffing/recruitment experience.
How this job compares
Set against the 1,586 open Product Engineer jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$180–250K/yr
- US median$135–230K/yr1,174 salary ranges
This range's midpoint, $215K, is 18% above the US median midpoint ($182K) — in the middle half of Product Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 19 open Product Engineer jobs in Oregon and 1,586 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Product Engineer postings that state a minimum ask for 5 years at the median (1,285 postings).
- Education
- 540 of the 1,586 open Product Engineer jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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