Senior Product Manager
Outreach.io
IndiaremotePosted 1 month ago
Skill Required
Product-ManagerAI-Product-ManagementProduct-ManagementB2B-SaaS-Product-ManagementRevenue-Product-ManagementSenior-Product-ManagementSenior-Staff-Product-ManagerSenior-Principal-Product-ManagerSenior-Staff-Product-ManagementSenior-Product-LeadProductProduct ManagerEngineeringDatabricksanalyticsbuildingdesignSassUnitySAPandGenerative AIGoAIMachine LearningFulltime
Key highlights
- Required Experience: 7+ years of PM experience in enterprise/B2B SaaS
- Key Requirement: Experience launching LLM-powered capabilities or agentic workflows
- Role Scope: End-to-end ownership of vision, strategy, and roadmap for a product area
- Location: India (working with global teams in Czechia and US)
Role overview
Outreach is an agentic AI platform for revenue teams that automates workflows across prospecting, deal acceleration, retention, and forecasting. As a Senior Product Manager within the Forecasting, Deal Management & Analytics business unit, you will own a product area end-to-end, including the vision, strategy, roadmap, and outcomes for capabilities used by sellers and leaders. This role is based in India and involves working with cross-functional partners in India, Czechia, and the US. You will specifically own the AI application within your area, determining which use cases to build, setting quality bars, and ensuring AI outcomes through evaluation design and guardrails.
Responsibilities
- Owning the vision, strategy, and roadmap for your product area, and being accountable for the outcomes it delivers
- Owning the AI application in your product area: identifying and prioritising the use cases worth building, and being willing to say when a problem is better solved without AI
- Defining what “good” means for AI-powered capabilities — the evaluation criteria, quality bars, and offline and online measurement that tell you whether a model or agent is genuinely working for customers, and holding the roadmap to those bars
- Partnering with data science and ML engineering to take capabilities from experimentation into production, including guardrails, human-in-the-loop design, and the failure modes customers will actually hit
- Defining and prioritisingthe work — making explicit trade-offs on scope, sequencing, and timelines, and explaining the reasoning to partners and leadership
- Capturing voice of the customer: leading discovery sessions, running research, and building a first-hand understanding of how revenue teams actually work
- Establishing the metrics that define success for your area like adoption, quality, and business impact,and using them to steer the roadmap
- Tracking the market, competitive landscape, and customer feedback, and translating them into positioning and roadmap priorities
- Working with product marketing, enablement, and finance on launch, positioning, pricing, and packaging
- Driving cross-organisational initiatives where your area depends on, or is depended on by, other product teams
Requirements
- 7+ years of product management experience building enterprise or B2B SaaS products
- Experience launching AI or data products with LLM-powered capabilities, copilots, or agentic workflows, including ownership of their quality after launch
- Fluency in modern AI stacks: model integration, context orchestration, prompt design, guardrails, and evaluation frameworks
- A demonstrated ability to translate complex AI capabilities into simple product experiences and measurable customer value
- Proven ability to work closely with engineering and data scientists to take models from experimentation to production
- Comfortable building a business case, working directly with data to test a hypothesis, and making decisions under uncertainty
- Customer empathy, and the discipline to keep talking to users rather than reasoning from assumptions
- The ability to set a longer-term strategy for your area while driving meaningful short-term impact, and to bring senior leadership and cross-functional partners along with you
Nice to have
- Experience with analytics, reporting, or performance-measurement products, or with products that turn behavioural data into recommendations and guidance
- Experience building products for go-to-market teams including sales, marketing, revenue operations, or customer success
- Experience with conversation intelligence, or with products built on unstructured interaction data
- A clear understanding of AI governance, privacy, compliance, and responsible AI principles as they apply to enterprise readiness
- Experience working in a distributed product organisation across multiple regions
Additional details
- This role sits within our growing product organization in India, working alongside engineering, design, and data science partners across India, Czechia, and the US.
- You will have latitude to decide what gets built and why, with less process than a mature organization but more resources than a small startup.
- You will be measured on the impact those decisions have on customers and on the business.
- Originally posted on Himalayas