Founding Product Manager

Thoughtly•New York, NY

2d•Onsite

About The Position

Thoughtly is looking for a Founding Product Manager to set product direction across their entire platform, including the agent builder, conversation engine, omnichannel integrations, analytics, and packaging/pricing for GTM buyers. This role will own the roadmap to achieve $20M ARR and beyond, with a focus on customer empathy, AI-native development, and shipping product end-to-end. The ideal candidate will be deeply technical, metrics-driven, have excellent taste, and be maniacal about outcomes.

Requirements

Obsessed with the customer; proactively seek out customer conversations and feel their friction.
5+ years as a PM, engineer, or founder with experience taking a product from concept to paid renewal.
Comfortable with ambiguity and structured without a playbook.
Deeply technical: able to discuss LLM prompting, latency tradeoffs, telephony infrastructure, and conversation design with engineers.
Use AI tools daily.
Metrics-driven: define success quantitatively and back convictions with data and customer insight.
Excellent taste: notice details in flow, copy, latency, and silence; articulate why a great voice interaction feels great.
Maniacal about outcomes: find what matters, execute, and hold yourself accountable.

Nice To Haves

Built GTM or sales automation products (dialers, CRMs, sequencing tools, etc.).
Experience with conversational AI, voice interfaces, or telephony platforms.
Experience in a high-consideration consumer vertical (insurance, real estate, legal).
Experience at a high-growth startup scaling from seed to Series A+.
Built or priced PLG or usage-based products.

Responsibilities

Live in your customers' world and talk to customers constantly to understand their thinking, friction points, and definition of success.
Ride along on sales calls and listen to call recordings to translate customer complaints into product insights.
Multiply the team by removing blockers, nailing launch plans, de-risking decisions, and keeping everyone aligned without bureaucracy.
Use AI to build prototypes and compress non-engineering cycles to achieve extraordinary velocity.
Ship product end-to-end: spec, build with engineering, test with customers, launch, measure, and iterate.
Own key metrics such as conversation completion rates, lead conversion lift, agent utilization, and expansion revenue.
Set the quality bar for all agent conversations, ensuring they represent customers' brands effectively.
Develop a deep understanding across multiple consumer verticals (real estate, insurance, legal, mortgage, education) and buyer types.