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Engineering · Candidate FAQ · 2026

Vertical AI for the $1 trillion home-services industry.

Avoca is the AI front office built for service businesses: it answers every call, works every lead, and checks in on every customer, keeping boards full and teams focused on the work that matters. Proudly built for the trades, and trusted by 800+ operators across HVAC, plumbing, electrical, roofing, pest control, automotive, and more. Under the hood, real-time voice AI holds live conversations on noisy job sites and routes calls into legacy CRMs like ServiceTitan to book the job, the hard part isn’t the LLM, it’s everything around it.

Visit avoca.ai ↗ Senior / Staff Engineering NYC HQ In-office · 5 days IC-first & flat
Founders
Apurva Shrivastava

Apurva Shrivastava

Co-founder & CEO

MIT CS, second-time founder. Scaled Retool as an AI engineer; built Avoca’s original voice product.

LinkedIn →

Tyson Chen

Tyson Chen

Co-founder & President

MIT CS, ex-PM at Nuro, ex-BCG. Owns GTM and the services-industry domain.

LinkedIn →

10×Revenue growth 2025
$1BSeries B valuation
200%Enterprise NDR
800+Operators across the trades
NYSE congratulates Avoca on raising $125M to build AI agents for service businesses
On the board at the NYSE
“NYSE congratulates Avoca on raising $125M to build AI agents for service businesses.”
01 · The company

Traction, funding & whether the hype is real.

The business

Production, not a demo reel

Avoca 10×’d revenue in 2025, and more than $1B in jobs has been booked through the platform, production software running revenue-critical workflows.

Funding

$125M+ Series B

Raised at a $1B valuation. Backed by Audacious, with General Catalyst and Meritech leading and Kleiner Perkins, Amplify, Nexus, and Y Combinator participating.

Market

$1 trillion, early-2000s software

Strongest in HVAC today, expanding into restoration, towing, auto, plumbing, and electrical, each one where HVAC was two years ago.

02 · What Avoca builds

The product & the engineering underneath.

An end-to-end AI platform that turns customer demand into booked jobs: answers inbound calls 24/7 with voice AI, runs SMS and email follow-ups, qualifies intent, checks technician availability, books and reschedules jobs, coordinates dispatch between customers, CSRs and techs, and feeds analytics and coaching back into the loop.

The interesting problems

Systems problems, not research problems.

Hostile audio

Live calls from job sites and truck cabs, power tools, road noise, multiple speakers, accents, mid-sentence corrections, reasoned through in low latency while holding conversational state.

Live state

Scheduling, rescheduling, dispatch, and technician routing all changing mid-call while the agent is still talking.

Legacy CRMs

Full read/write into ServiceTitan and other systems of record built two decades ago. Going deep here is the work.

Real money

One missed edge case isn’t a dashboard blip, it’s a $15K HVAC job that didn’t get booked. Code to customer revenue, no abstraction layers.

Stack: Node.js, TypeScript, and React, with Cursor in the workflow and a proprietary mix of foundation models. No in-house ML research org, the work is production systems engineering: latency, state, audio robustness, legacy integrations, and multi-tenant enterprise scale.

03 · Team & culture

How the team works.

Who you’d report to

Apurva, directly. No head-of-engineering layer between senior ICs and the CEO, no VP of Engineering, no managers. Every engineer reports to Apurva.

Retention

Zero engineering turnover. Everyone’s there voluntarily, and the numbers back up the culture.

04 · In the press

Recent coverage.

05 · Open roles

What they’re hiring for.

Five open roles on Avoca’s engineering team, New York HQ, in-office. Forward Deployed Engineering is where the team is growing fastest.

Stack: TypeScript, React, Next.js, Vercel, AWS, Supabase and Postgres, ClickHouse, Twilio and Dialpad for telephony, Datadog, with Anthropic and OpenAI models under the voice layer. What matters most is strong fundamentals and real problem-solving. Use AI tools all you want, as long as you can debug and reason about what ships.

Engineering · NY HQ

Staff Software Engineer, Product

New York HQ · in-office
  • Own architecture and end-to-end delivery of the hardest, highest-stakes systems
  • Set the bar for code quality, testing, and reliability across the org
  • Partner with Product, CS, and GTM leadership on roadmap and strategy
Architecture0→1Technical leadership
Engineering · NY HQ

Senior Software Engineer, Product

New York HQ · in-office
  • Own features end to end, backend services to AI-powered UX
  • Turn customer feedback into rapid iteration and experimentation
  • Work with Product, CS, and GTM; 4-6 yrs full-stack
Full-stackProduct engAI UX
Engineering · NY HQ

Forward Deployed Engineer

New York HQ · in-office · leaning mid to senior
  • Roughly half the job is building and testing agents; the rest is core engineering and customer work
  • Lead enterprise pilots and multi-brand rollouts, including onsite with operators
  • Recent builds: self-serve controls for AI tool-call responses, custom IVR agents, on-prem CRM integrations
  • The face of Avoca to CTOs, VPs of customer experience, marketing, and data teams
  • Custom work ships behind feature flags; what proves broadly useful graduates into the core product
AgentsVoiceIntegrationsEnterprise
Engineering · NY HQ

Agent Product Manager

New York HQ · in-office
  • Own one core product line from discovery through deployment
  • Go deep on one area, not a generalist PM
  • Connect customer reality to engineering; synthesize CSM and TAM feedback
ProductAgents0→1
Engineering · NY HQ

IT Manager

New York HQ · in-office
  • First IT hire; own the full tech environment and SaaS stack
  • Lead the IT build-out of the NYC HQ as the team scales 100 to 200+
  • Own endpoint security, identity and access, and IT policy
ITOperationsFirst hire

Build AI that actually runs businesses.

In office · NYC. If you want to ship production systems where code maps straight to revenue, this is the work.