Gaya Technologies Inc Logo

Gaya Technologies Inc

Product Manager - Onboarding & Product Analytics

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.
The summary above was generated by AI
About Gaya

Gaya is a browser extension built for independent insurance agencies. It eliminates the manual data re-entry that slows teams down every day, letting agents move information across carrier portals, AMS systems, and raters without retyping anything. Our customers save real time on every quote. We're growing, and we need someone who can make sure every new customer actually feels that.

About the Role

We're looking for a Product Manager to own the earliest, most decisive moment in the customer journey: onboarding. You'll start by making sure new customers reach value as fast as possible, use analytics to understand where they succeed and where they drop off, and grow into owning a broader slice of the product roadmap over time.

This role is designed as a progression. You'll begin close to customers and data, and as you build context and demonstrate impact, you'll take on end-to-end ownership of features from discovery through launch and iteration.

What You'll Do

Phase 1 — Own customer onboarding (first ~3–6 months)

  • Own the new-customer onboarding experience end to end, from first touch to activation.

  • Map the onboarding funnel, identify friction and drop-off points, and ship improvements that shorten time-to-value.

  • Partner closely with customer success, sales, and support to understand where customers get stuck.

  • Define and track activation metrics; run experiments to move them.

Phase 2 — Deepen product analytics

  • Build and maintain a clear picture of how customers use the product, using data to separate signal from noise.

  • Instrument key flows, define the metrics that matter, and make analytics a shared source of truth across the team.

  • Turn behavioral insights into prioritized, evidence-backed product opportunities.

  • Partner with data/engineering to ensure we're measuring the right things well.

Phase 3 — Feature roadmapping & ownership

  • Translate customer insight and analytics into a prioritized product roadmap.

  • Own features end to end: discovery, spec, delivery, launch, and iteration.

  • Balance customer needs, business goals, and technical constraints when making tradeoffs.

  • Communicate the roadmap and its rationale clearly to stakeholders and leadership.

What We're Looking For
  • Strong analytical instincts — comfortable digging into product data and making decisions from it.

  • Customer empathy and a habit of talking to users directly.

  • Clear communication and the ability to drive alignment across functions.

  • Bias toward action: you ship, measure, and iterate.

Preferred Qualifications
  • Experience with product analytics tools (PostHog, Amplitude, Mixpanel, or similar) and SQL.

  • Background in B2B or SaaS.

  • 2–3 years of Product Management experience.

  • Experience running experiments and defining metrics from scratch.

What Success Looks Like
  • Customers consistently reach value quickly, with improvements in activation rate and time-to-value.

  • Product decisions are driven by clear analytics and customer insights, not assumptions.

  • High-impact features are shipped, measured, and iterated based on real user behavior.

  • A well-prioritized product roadmap aligns customer needs, business goals, and engineering effort.

Similar Jobs

5 Minutes Ago
Remote or Hybrid
202K-275K Annually
Senior level
202K-275K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills.
Top Skills: A/B TestingCausal InferenceClaude CodeCodexDatabricksMachine LearningPythonSQLStatsig
Junior
Insurance • Financial Services
Handle inbound and outbound calls to current policyholders to explain and add additional life, accident, and health coverage; use the eService web system to assess eligibility, complete paperwork, correct errors, and assist with correspondence while maintaining confidentiality and strong customer service.
Top Skills: Eservice
An Hour Ago
Remote
United States
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Software • Defense
Own the vision, strategy, roadmap, and execution for Atom Engine content, including scenarios, units, and entities. Translate user and stakeholder needs into priorities and requirements, improve content creation and maintenance workflows, define quality standards, and align content with product, engineering, design, and domain teams. Use user research, exercise feedback, and production data to measure effectiveness and drive continuous improvement in a military simulation environment.
Top Skills: AISimulation Technologies

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account