Principal Product Manager

EvoluteIQ

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

7 days ago
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Job summary

EvoluteIQ is seeking a Principal Product Manager to build clean, scalable, and production-ready AI-enabled applications. The ideal candidate has hands-on experience taking Python-based solutions into production and enforcing engineering best practices.

You will shape strategy within the technology leadership group, translate it into a roadmap, and drive a cohesive platform vision across customers, partners, and engineering teams.

Qualifications

  • 15+ years of experience in product management for enterprise software or B2B SaaS.
  • 5+ years mentoring or leading product managers.
  • Track record of taking enterprise products from discovery through launch, adoption and scale.
  • Hands-on experience shipping AI or agentic AI capability in a production product.
  • Experience with data platforms or pipelines, and how they support AI-driven products.
  • Strong enterprise customer instinct and credibility with senior client stakeholders.
  • Exceptional written clarity, since much of your influence will travel as documents.
  • Background in process automation, BPM, RPA, process orchestration or low-code/no-code platforms.
  • Experience in a company scaling through a similar inflection (100–500 people).
  • Experience across both enterprise and self-serve or product-led motions.
  • Working across distributed teams and time zones.

Responsibilities

  • Shape strategy with technology leadership and translate vision into a buyable roadmap.
  • Represent product organisation in leadership discussions on sequencing, investments and trade-offs.
  • Ground strategy in customer, partner, market and engineering constraints.
  • Be the voice of customers and competitive market positioning in prioritisation.
  • Own strategy, roadmap, prioritisation and outcomes for all product areas.
  • Run structured discovery-to-launch: problem definition, validation, scoping, release, adoption and iteration.
  • Write requirements precise enough for AI-assisted engineering with clear edge cases.
  • Define success metrics before build and report after launch.
  • Drive launch readiness with Marketing, Sales Eng, and Services.
  • Coach Product Managers and set operating rhythm for product management.
  • Engage engineering on architecture, data quality, and governance for AI features.
  • Define guardrails and evaluation frameworks for agentic AI before shipping.
  • Use AI tooling in research and prototyping and set that standard for the team.

Skills

Product management
Enterprise software
Mentoring
AI shipping
Data pipelines
Customer instinct
Written clarity
Process automation
Distributed teams
Time zones

Job description

We at EvoluteIQ believe in the power of transformation. We are committed to building an industry leading technology that will revolutionize the way enterprises conduct business. To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caring—about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Could that be you?

We are looking for an experienced Principal Product Manager to build clean, scalable, maintainable, and production-ready applications. The ideal candidate has hands-on experience taking Python applications into production, enforcing engineering best practices.

What you'll do at EvoluteIQ:
Shape Strategy with Technology Leadership
  • Sit within the technology leadership group and contribute market, customer and execution perspective to the product vision the CPO sets.
  • Translate that vision into product strategy and a roadmap the business can commit to and deliver.
  • Represent the product organisation in leadership discussions on sequencing, investment and trade-offs across product areas.
  • Keep strategy and roadmap grounded in what customers, partners, the market and engineering capacity make realistic.
  • Represent the voice of the customers and competitive market positioning in product prioritisation and design discussions.
Understand the Market and the Customer
  • Maintain a working command of the agentic AI, process orchestration and intelligent automation landscape, including competitors, emerging entrants and analyst positioning.
  • Bring in structured inputs from enterprise customers, prospects and partners to understand their problems in enough depth to prioritise on their behalf.
  • Work with Sales, Solution Consulting and Customer Success so customer requests inform a coherent platform roadmap.
  • Convert market and competitive movement into specific input for the roadmap and for positioning conversations with the CPO and leadership.
  • Tap into prior experience or research in process automation to how we sequence platform investment and differentiate.
Execute the Roadmap with Discipline
  • Own strategy, roadmap, prioritisation and outcomes for all product areas.
  • Run structured discovery-to-launch: problem definition, validation, scoping, release, adoption and iteration.
  • Write requirements precise enough for AI-assisted engineering: clear specifications, edge cases and acceptance criteria.
  • Make trade-off calls on scope, sequencing and technical debt, and explain the reasoning to those affected.
  • Define success metrics before build begins, and report against them after launch.
  • Drive launch readiness with Marketing, Sales Engineering and Services.
Lead and Grow the Product Team
  • Coach Product Managers on discovery, problem framing, prioritisation, writing and stakeholder influence.
  • Set the operating rhythm for product management: reviews, artefacts, definitions of done and decision forums.
  • Raise product judgement across the organisation, helping engineering and business teams think in customer and business outcomes.
Hold the Technical Bar
  • Engage engineering as a peer on architecture, integrations, scalability and technical constraints.
  • Shape decisions on data pipeline design, data quality standards and governance, so AI features are built on data the platform can trust.
  • Define guardrails, evaluation frameworks and human-oversight checkpoints for agentic AI and LLM-based features before they ship.
  • Make or influence product calls on SaaS packaging and editions, deployment models, and security and compliance requirements for regulated industries.
  • Use AI tooling in your own research, specification, prototyping and analysis, and set that standard for the team.
What will you bring to the team
  • 15+ years of experience overall, including 10+ years in product management for enterprise software or B2B SaaS.
  • 5+ years mentoring or leading product managers.
  • A track record of taking enterprise products from discovery through launch, adoption and scale.
  • Hands-on experience shipping AI or agentic AI capability in a production product.
  • Experience with data platforms or pipelines, and how they support AI-driven products.
  • Strong enterprise customer instinct and credibility with senior client stakeholders.
  • Exceptional written clarity, since much of your influence will travel as documents.
  • Background in process automation, BPM, RPA, process orchestration or low-code/no-code platforms.
  • Experience in a company scaling through a similar inflection, roughly 100 to 500 people.
  • Experience across both enterprise and self-serve or product-led motions.
  • Working across distributed teams and time zones.
What We Offer
  • Opportunity to shape the strategy of a next-gen hyper-automation platform.
  • Work with a cross-disciplinary team in a fast-growing, innovation-driven environment. Competitive compensation and growth opportunities.
  • A culture of innovation, ownership, and continuous learning.

We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.

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