Avoca

AI agents for service businesses
Last updated:
February 4, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
Avoca builds AI agents that handle “front office” work for service businesses, with a heavy emphasis on voice and omnichannel lead handling. Public messaging focuses on answering every call 24/7, booking jobs, qualifying leads, and nurturing customers. Avoca appears in Y Combinator’s company directory with an “AI-powered Sales Agent” positioning, and the company markets customer stories and case studies on the Avoca site. Recent hiring posts from team members frame Avoca as growing quickly across engineering and go-to-market.
Locations and presence
Avoca’s public hiring footprint centers on New York, NY, with multiple roles listed there. Avoca’s LinkedIn jobs feed has also shown roles tagged in other countries, suggesting at least some distributed hiring.
Palpable Score
55.8
/ 100
Avoca offers some credible “early-career adjacent” entry points, especially in product engineering where the company explicitly mentions exceptional new grads. The limiting factor is that most postings still read like experienced-hire roles, with limited public detail on hiring steps, onboarding, and early-career progression.
Pillar 1: Early-career access

Score

11.0
/ 20
  • The company advertises a Software Engineer role that asks for 2–4 years but explicitly welcomes “exceptional new grads” with meaningful projects or internships.
  • Avoca hires across many functions on the public job board, but most titles are not junior-labeled (few “Associate”, “Junior”, or “0–2 years” signals in the visible role set).
  • The company’s hiring volume looks meaningful for a startup, yet the entry-level lane is narrow and mostly “new grad exceptions” rather than repeat 0–3 year roles.

Pillar 2: Hiring fairness and transparency

Score

11.7
/ 20
  • The company uses a centralized ATS job board for applications, which is a baseline fairness signal compared with informal inbox-only recruiting.
  • Avoca’s job listings shown publicly do not consistently explain the interview stages, timelines, or what candidates will be assessed on, which hurts transparency for first-time applicants.
  • The company shares recruiter-led hiring posts encouraging candidates to reach out, but that does not replace clear written expectations and structured evaluation criteria inside the listings.

Pillar 3: Learning and support

Score

10.0
/ 20
  • The company’s Product Engineer role is framed around end-to-end ownership and fast iteration from customer feedback, which can be a strong learning environment when paired with real coaching.
  • Avoca’s public role pages are light on concrete early-career support signals like ramp plans, pairing, structured feedback loops, or examples of how juniors are supervised.
  • The company hires experienced roles (for example program management and customer-facing technical roles), but does not publish mentorship or manager routines aimed at 0–2 year hires.

Pillar 4: Pay fairness and stability

Score

14.3
/ 20
  • The company provides a published base pay range for at least some roles on LinkedIn (for example, Software Engineer showing a $150k–$225k range).
  • Avoca does not consistently show compensation ranges across every role surface area, so pay fairness is only partially verifiable from public listings.
  • The company’s roles appear to be primarily full-time positions rather than repeated short-term contracts, which is a stability positive for early-career candidates.

Pillar 5: Early-career outcomes

Score

8.8
/ 20
  • The company does not publish early-career outcomes like intern conversion, time-to-promotion, or retention, which makes progression hard to score strongly.
  • Avoca has visible headcount growth signals on LinkedIn, but that is not the same as showing juniors getting promoted or staying 12–24 months.
  • The company’s public content focuses on customer outcomes and hiring volume rather than internal talent outcomes, leaving early-career success indicators mostly unproven.

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