Product-led Growth Manager

Hevo Data · Bengaluru

  • Experience4–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted29 Sept 2026

About Hevo Data

Hevo Data is hiring in Bengaluru in technology software. This role looks for around 4+ years of experience.

Skills

  • activation frameworks
  • Conversion Rate Optimization
  • behavioral analytics
  • A/B testing
  • lifecycle marketing
  • technical writing
  • Amplitude
  • Mixpanel
  • PostHog
  • Hotjar
  • FullStory
  • data engineering
  • analytics engineering
  • data science

The role

A product-led growth manager at a B2B SaaS company designs activation frameworks, runs Conversion Rate Optimization, and uses behavioral analytics to improve trial conversion. The role also develops lifecycle marketing and technical writing for data practitioners.

Full job description

About HevoHevo is a simple, no-code data pipeline platform that helps companies unify and prepare their data for analytics and AI. Hevo enables 2,500+ data-driven companies, including DoorDash, Shopify, Postman, and Groww, to get their data AI-ready by automating complex integration and transformation tasks across hundreds of sources.By removing engineering bottlenecks, Hevo allows teams to focus on what actually matters: generating insights, building intelligent products, and making faster decisions.

What You Will OwnYou own the moment a data practitioner signs up for Hevo through the moment they become a paying customer, and everything in between. That means the trial experience, the lifecycle touchpoints, the activation metrics, and the conversion plays. You will work across Product, Growth, and Sales to make the self-serve funnel a predictable revenue source.This is the connective tissue between the product and the pipeline. You are not a reporter of results. You are the person who defines what success looks like, instruments the funnel to measure it, and ships the interventions that move it.

Core Responsibilities1. Trial Lifecycle and ActivationDefine what trial success looks like: set activation milestones, instrument the funnel, and report on conversion performance weeklyMap the full trial journey from signup through first pipeline to the aha moment and conversion, identifying every point where intent dropsBuild dashboards connecting trial activation to conversion to ARR influenceDesign and run lifecycle communications: onboarding email sequences, in-app nudges, and re-engagement flows tied to behavioral triggersAct as the internal voice of the trial user in Product, GTM, and leadership conversations2. Conversion Rate OptimizationSynthesize behavioral data (session recordings, funnel drop-off, in-app event data) into structured conversion hypotheses with clear success metricsDesign and execute Conversion Rate Optimization across onboarding flows, signup pages, and trial touchpoints with documented methodology and learningsPartner with Design on landing page variants for high-intent entry points such as use-case pages, competitor comparison pages, and ICP-segment pages. You define the hypothesis and copy; Design executesMaintain a rigorous experiment log: hypothesis, variant rationale, statistical methodology, results, and learnings. Every test is a learning asset3. Product and GTM PartnershipSurface structured, prioritized insights from trial users into the roadmap process weeklyBuild technically credible trial-stage collateral: setup walkthroughs, migration guides, competitive comparison assets written for data practitioners, not buyersCreate and maintain a weekly product to GTM feedback brief synthesizing signals from trials, support tickets, deal reviews, and customer conversationsSupport competitive displacement motions with proof-of-concept content and trial-stage enablement assets

What You Need to BringNon-Negotiable4–7 years across Product Marketing, Growth, or PLG at a B2B SaaS company with direct ownership of a trial or self-serve conversion program and measurable outcomesHands-on data background: you have worked as or closely alongside a Data Engineer, Analytics Engineer, or Data Scientist, and can write for that audience without translationStrong understanding of PLG mechanics: activation frameworks, aha-moment design, in-product lifecycle marketing, and trial funnel instrumentationBehavioral analytics skills: Amplitude, Mixpanel, or PostHog for funnel and activation tracking; Hotjar or FullStory for session analysisExperimentation discipline: you have designed and run A/B tests with proper statistical methodology, not just changed the button colorLifecycle marketing execution: you have built email sequences or in-app messaging tied to behavioral triggers, not just calendarsClear technical writing: you can produce a migration guide and a conversion hypothesis in the same weekStrong AdvantageFamiliarity with PLG tools: in-app messaging (Appcues, Pendo, or equivalent), lifecycle email (Customer.io, Braze), and interactive demos (Arcade, Navattic, Storylane)Experience with competitive displacement at the trial stage, building proof-of-concept content that moves a Fivetran or Airbyte user toward a switch decisionBasic HTML/CSS comfort to push copy changes or CTA edits without filing a ticket