Agent Product ManagerAvoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 130+ employees in under two years across our NYC headquarters and Santa Barbara office.In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services.
With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.We're looking for an Agent Product Manager to own one of our core product lines and drive it from discovery through deployment.This is not a generalist PM role. You'll go deep on a specific product area, working directly with engineering, design partners, and customers to understand what needs to be built, why, and how to ship it in a way that scales. You'll be the connective tissue between customer reality and engineering execution, synthesizing feedback from CSMs, TAMs, and customers into clear, actionable product requirements.The best fit here is someone who obsesses over product longevity, not just individual customer happiness, and who can build rapidly, think in systems, and translate ambiguity into clear direction.What You'll DoProduct Line StrategyOwn one or more product lines end-to-end, from discovery through delivery and iterationDefine product roadmaps grounded in real deployment data and customer feedback, not feature requestsPrioritize ruthlessly between customer-specific asks and platform-wide improvementsEstablish clear boundaries on what the product can and cannot do, and ensure sales and CS teams understand themCross-Functional AlignmentBridge the gap between sales promises and engineering reality, guide sales on which features to pitch, which customer profiles to target, and what realistic timelines look likeWork with engineering to shift from one-off custom builds to iterative, productized solutionsCollaborate with support to build self-service tooling that eliminates manual configuration bottlenecksOwn the feedback loop: ensure customer insights reach engineering as structured product requirements, not ad hoc requestsWhat You'll Bring3 to 6 years of product management experience, ideally in B2B SaaS or AI-enabled productsStrong ability to synthesize qualitative customer feedback into structured, engineering-ready requirementsExperience working directly with customers or design partners in a product capacityComfort navigating ambiguity and competing priorities across product, engineering, and go-to-market teamsFamiliarity with AI, LLMs, or conversational AI systems, or a strong ability to ramp quicklyOutcome-driven: you measure success in shipped impact, not process followedLow ego, high energy, resilient in a fast-paced environmentBonus: experience with enterprise deployments, multi-location operators, or platform infrastructureEagerness to work in person with us in NYC full timeBenefitsComprehensive medical, dental, and vision insuranceCompany-sponsored 401(k) through VestwellFlexible PTO plus U.S.
federal holidaysDaily in-office lunch through ParkdayDinner covered when working lateCommuter benefitsStanding desks and workspace accommodations available on requestAll core tools and software providedAt Avoca, you'll be part of a team that's building a category-defining company at the center of a massive market opportunity. We're a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.