Lead Product Manager, Core

Sprig•San Francisco, CA

3d•$200,000 - $255,000•Hybrid

About The Position

Sprig is a customer survey platform rebuilt around AI agents. Its platform helps teams design studies, adapt surveys in real time, and turn responses into actionable insights. Sprig serves companies including Microsoft, DoorDash, Notion, Figma, Coinbase, and TripAdvisor and is backed by $85 million from Andreessen Horowitz, Accel, and First Round Capital. The Lead Product Manager, Core owns Sprig’s core survey capabilities and workflows. The scope includes survey creation, advanced logic and question types, distribution through panels, email, and other channels, and enterprise capabilities such as permissions, integrations, and survey management across teams. The role expands what customers can accomplish while making sophisticated workflows intuitive and reliable. This is a hands-on individual contributor role reporting directly to the CEO. The Product Manager partners closely with engineering, design, other product managers, and go-to-market teams, and has meaningful ownership of product decisions. The role requires clear recommendations, constructive challenges to assumptions, and independent progress-driving. It is hybrid, with four days per week in Sprig’s downtown San Francisco office near Montgomery BART.

Requirements

7+ years of product management experience, including ownership of B2B SaaS products from discovery through launch and adoption.
Experience shipping enterprise capabilities that measurably improved adoption, supported expansion, or strengthened retention, with the ability to explain the customer problem, personal contribution, and results.
Track record of leading ambiguous initiatives with limited day-to-day guidance, making consequential prioritization decisions, resolving cross-functional dependencies, and delivering results.
Evidence of simplifying complex workflows in partnership with design and engineering and demonstrating improvement through customer feedback or usage data.
Clear communication and constructive leadership, including explaining decisions and tradeoffs, building cross-functional alignment, and challenging assumptions with evidence and sound reasoning.
Fluency in customer research and product analytics, using qualitative and quantitative evidence to identify opportunities, test assumptions, and assess release outcomes.
Practical AI fluency, including using AI tools to accelerate work and evaluating where AI improves customer experience while considering accuracy, trust, and user control.
Experience making product decisions under technical constraints, including tradeoffs with engineers to reduce scope, resolve dependencies, or improve reliability while preserving customer value.

Nice To Haves

Experience shipping AI-powered products, research tools, or products at a growing startup.

Responsibilities

Set direction for the product area by combining customer research, usage data, and competitive insight to identify valuable problems and build a focused roadmap.
Work directly with enterprise customers and prospects to understand workflows, validate solutions, and distinguish broadly valuable capabilities from one-off requests.
Prioritize work that improves adoption, supports new contracts and expansion, or strengthens retention, while balancing customer commitments with longer-term differentiation.
Lead execution from discovery through launch by writing product requirements, defining manageable releases, resolving dependencies, and partnering with design and engineering to deliver efficiently without compromising essential quality.
Define success before development begins, partner with go-to-market teams on rollout, and use adoption data and customer feedback to improve products after launch.
Improve the quality of product decisions by making complex workflows intuitive, explaining prioritization, and helping teams align on customer needs and goals.