Senior Product Manager at Axiamatic · Bengaluru (Bangalore) · 5 - 7 years · ₹27L - ₹40L / yr · Raised funding · Posted 31 Jul 2026
About the Company
Axiamatic is the AI-native control plane for enterprise transformation. Large transformation programs — ERP migrations, CRM rollouts, enterprise-wide operating model changes — have for decades exceeded what any human team can coordinate. Roughly 70% of these multi-year, multi-hundred-million-dollar initiatives fall short of expectations. Misalignments and drift build up quietly, and by the time they surface, the cost is already in.
We're changing that. Axiamatic builds a Living Context Graph — a continuously updated digital twin of a customer's transformation, ingesting structured and unstructured signals from 250+ enterprise systems (SAP, Oracle, Dynamics 365, Salesforce, ServiceNow, Jira, Azure DevOps, Teams, Slack, and more). On top of it, our Transformation Agents detect translation loss, cross-stream drift, and change resistance as they form, and our Playbooks route remediation to the right stakeholder in the tools they already use.
We came out of stealth in March 2026 with $54M from Greylock and Bessemer. Our founders Rajiv Gupta and Kaushik Narayan have done this before — most recently at Skyhigh Networks (acquired by McAfee), where they defined the Cloud Access Security Broker category that Gartner once named the fastest-growing in cybersecurity. Rajiv previously co-founded Confluent Software (Oracle) and Securent (Cisco). Our early customers include the Heico Company and Marmon (a Berkshire Hathaway subsidiary), and we're working with the world's largest systems integrators.
About the Role
You'll be one of the early product managers at Axiamatic, owning a major area of our platform end-to-end and working with our product and engineering leadership, SMEs, and our customers.
This is a rare 0→1 + scale role: the product is in market with reference customers, the platform is real, and the category is wide open.
You'll define how some of the world's most consequential transformation programs are run — what signals we capture, what risks our agents detect, and how guidance reaches executives, PMOs, and change leaders in the flow of their work.
What You'll Do
- Own a major product area end-to-end — strategy, roadmap, execution, and enablement.
- Live with our customers and design partners. Sit in on transformation steering committees, ride along with SI delivery teams, and bring the texture of the work back to engineering and design.
- Drive 0→1 and 1→N in parallel. Take new concepts from problem definition through alpha, beta, and GA while continuing to harden what's already in production at Fortune 500 customers.
- Partner deeply with engineering. Work with engineering scrums to prioritise sprints, groom stories, and make sharp trade-offs across scope, quality, and time. Translate ambiguous customer signals into crisp product specs.
- Shape the Agentic experience. Define how Transformation Agents, the Living Context Graph, and Playbooks come together for executives, PMO leaders, and OCM teams.
- Define and own metrics. Instrument the product, set the bar for adoption and outcomes, and use data to refine the roadmap.
- Be a voice of the company externally. Write blogs, present at customer briefings and partner events, and help shape how the market understands the category we're building.
Requirements
- 5–7 years in product management, with meaningful time at enterprise B2B SaaS companies. Bonus if you've worked on AI/ML and agentic systems.
- A track record of owning a product from inception to launch.
- Strong technical instincts. You don't need to be an engineer, but you should be able to reason about LLM-powered features, distributed systems, data pipelines, and integration architectures, and hold your own in technical tradeoff conversations.
- Customer obsession. You discern signal from noise across customer conversations, market feedback, and product telemetry — and you let data refine your intuition rather than replace it.
- Excellent communication. You write clearly, present confidently to executives, and are equally comfortable in a customer war room, a sprint review, and a partner kickoff.
- Bias for action and comfort with ambiguity. Early-stage pace, continuous iteration, and shipping under uncertainty energize you.
- Lead by example. Humble, low-ego, intellectually honest, and genuinely curious. You raise the bar for the people around you.
Even Better
- Experience building or shipping LLM- or agent-powered products in production.
- Background as an engineer, consultant, or transformation practitioner before becoming a PM.
- Familiarity with the enterprise integration landscape (SAP, Jira, ServiceNow, Salesforce, Workday, Azure DevOps, SharePoint).
Shubham Vishwakarma
Full Stack Developer - Averlon
About Axiamatic
About
Axiamatic is the agentic control plane for enterprise transformation. Its platform continuously monitors complex programs, surfaces risks early, and delivers the context and recommendations every stakeholder needs to act so enterprises can run transformations with the speed, visibility, and predictability that human teams alone cannot achieve. Backed by Greylock Partners and Bessemer Venture Partners, Axiamatic is trusted by leading Fortune 500 companies, large enterprises, and leading system integrators to ensure the success of transformation programs.
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Must Have:
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Product Manager – AI/GenAI
Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.
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We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.
Key Responsibilities
- Own the product lifecycle from problem discovery → PRD → launch → iteration
- Write clear and structured PRDs, user stories, and acceptance criteria
- Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
- Define product roadmaps and prioritize based on impact and feasibility
- Analyze product performance, funnels, and user behavior using data
- Drive experimentation, A/B testing, and continuous optimization
- Translate business goals into scalable product solutions
Required Skills & Qualifications
- 3–7 years of Product Management experience (preferably in fintech/startup environments)
- Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
- Experience working in Agile environments with engineering teams
- Ability to think structurally and solve complex product problems
- Strong stakeholder management and communication skills
- Working understanding of APIs, integrations, and system workflows
- Comfort using AI tools to enhance productivity, documentation, research, and product discovery
- Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency
-Turn ambiguous ideas into clear product requirements and workflows.
- Break large ideas into small experiments that can be shipped quickly.
- Communicate customer problems, edge cases, and product intent clearly to engineers and designers.
- Work closely with engineering throughout implementation rather than simply handing over a PRD.
- Test the product yourself and continuously improve it based on actual usage.
### Customers & Market
- Speak directly with customers and prospects.
- Understand how they currently solve problems and where existing tools fail.
- Run product demos and gather structured feedback.
- Separate individual customer requests from broader product opportunities.
- Use customer conversations to continuously refine product strategy.
### Launch & Growth - Own launch strategy for the products and features you build.
- Define positioning, messaging, demos, onboarding, and initial adoption strategy.
- Work across product, engineering, sales, and customers to make launches successful.
- Measure what happened after launch and iterate quickly.
## What We're Looking For
-You likely have **2–4 years of experience** across product, engineering, startups, consulting, AI, or related roles. More importantly, you should have: - **~1 year of hands-on experience building with LLMs, agents, or AI applications.**
- Built actual AI workflows rather than only used ChatGPT or managed an AI project.
- Strong product judgment and ability to simplify complicated problems. - Comfort working with engineers and understanding technical trade-offs.
- Ability to perform deep market and customer research independently. - Strong written and verbal communication.
- High ownership — you naturally move from identifying a problem to getting something shipped.
- Comfort operating in an environment where the answer is often not known beforehand.
## Two Traits We Care About Deeply
### Constraint Thinking Great product people don't start with: *"What could we build?"* They start with: *"Given our users, technology, time, team, data, and constraints, what is the smartest thing we can build?"*
We value people who can reduce a large possibility space into a small number of high-leverage decisions. You should be able to distinguish between: -
interesting vs. useful,
- possible vs. reliable, AI Product Manager 2 / 4 AI Product Manager - demoable vs. production-ready,
- customer requests vs. underlying problems,
- AI capability vs. AI product.
### Grounded Energy AI moves incredibly fast, and it is easy to either become overly skeptical or overly excited. We want someone who has **high energy without hype**. You should be excited enough to constantly experiment with new technology, while grounded enough to recognize its limitations. You should naturally ask:
- Does this actually work?
- How often does it fail?
- What happens at scale?
- Can we evaluate it?
- Will customers actually change their behaviour for this?
- Is AI even necessary here?
## You Might Be a Great Fit If You have independently done things like: - Built an agent over a weekend to test a product idea.
- Compared multiple LLMs for a real use case.
- Created an eval dataset to test AI quality.
- Used tools such as Claude Code, Codex, Cursor, LangGraph, OpenAI Agents SDK, MCP, Langfuse, or similar systems.
- Automated parts of your own product or research workflow with agents.
- Interviewed users and changed the product based on what you learned.
- Gone from idea to prototype to customer feedback to production. - Read product documentation, GitHub repos, Reddit discussions, research papers, and competitor products to understand a market deeply.
## This Role Is Probably Not For You If
- You primarily see PM as backlog management and sprint coordination. - You need detailed requirements before you can start working.
- You prefer delegating prototyping and experimentation entirely to engineering.
- You haven't spent meaningful time building with modern AI tools.
- You enjoy creating large strategy documents more than testing ideas with users.
- You are uncomfortable making decisions with incomplete information.
## What Success Looks Like Within your first few months, you should be able to independently: AI Product Manager 3 / 4 AI Product Manager - understand a customer problem,
- research the market,
- identify a promising product opportunity,
- prototype an AI workflow,
- define how its quality should be evaluated,
- work with engineering to productionize it,
- speak with early users,
- launch it,
- measure adoption,
- and recommend what we should do next.
Roles & Responsibilities
Product Strategy & Discovery
- Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
- Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
- Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
- Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.
AI & Digital Innovation
- Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
- Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
- Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
- Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
- Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.
Presales, Consulting & Solutioning
- Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
- Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
- Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
- Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
- Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.
Product Delivery & Governance
- Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
- Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
- Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
- Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
- Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.
Customer & Business Outcomes
- Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
- Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
- Ensure products and solutions deliver measurable customer, business, and operational outcomes.
Core Competencies
- Product strategy, discovery, roadmap planning, prioritization, and backlog management.
- Generative AI, AI product thinking, AI use-case identification, and digital innovation.
- Presales, consulting, solutioning, RFP response management, and client engagement.
- Strong business acumen with the ability to connect technology initiatives to business outcomes.
- Excellent communication, presentation, facilitation, and stakeholder management skills.
- Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
- Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
- Strong analytical, problem-solving, and decision-making capabilities.
- Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.
Qualifications
- B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
- MBA or certifications in Product Management, Business Analysis, or related fields preferred.
- 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
- Experience working in Agile/Scrum environments with cross-functional technology teams.
- CSPO, PSPO, CBAP, or CCBA certifications are desirable.
Location - India (Remote)
We are looking for a driven and analytical Product Manager to lead the planning, development, and continuous improvement of our digital products. The candidate will work closely with engineering, design, marketing, sales, and business teams to translate customer and business needs into successful product solutions.
Key Responsibilities
- Define and communicate the product vision, strategy, and roadmap.
- Gather and analyze customer, market, and business requirements.
- Translate requirements into clear product specifications, user stories, and acceptance criteria.
- Prioritize features and maintain the product backlog.
- Work closely with developers, designers, QA, and other stakeholders throughout the product development lifecycle.
- Conduct market and competitor research to identify opportunities.
- Coordinate product launches and feature releases.
- Track product performance using relevant KPIs and analytics.
- Collect and analyze customer feedback to improve the product.
- Identify usability issues and recommend product enhancements.
- Participate in Agile/Scrum activities, including sprint planning and reviews.
- Ensure product initiatives align with overall business objectives.
Location : Remote (India)
Roles & Responsibilities
Product Strategy & Discovery
- Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
- Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
- Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
- Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.
AI & Digital Innovation
- Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
- Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
- Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
- Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
- Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.
Presales, Consulting & Solutioning
- Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
- Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
- Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
- Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
- Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.
Product Delivery & Governance
- Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
- Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
- Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
- Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
- Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.
Customer & Business Outcomes
- Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
- Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
- Ensure products and solutions deliver measurable customer, business, and operational outcomes.
Core Competencies
- Product strategy, discovery, roadmap planning, prioritization, and backlog management.
- Generative AI, AI product thinking, AI use-case identification, and digital innovation.
- Presales, consulting, solutioning, RFP response management, and client engagement.
- Strong business acumen with the ability to connect technology initiatives to business outcomes.
- Excellent communication, presentation, facilitation, and stakeholder management skills.
- Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
- Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
- Strong analytical, problem-solving, and decision-making capabilities.
- Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.
Qualifications
- B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
- MBA or certifications in Product Management, Business Analysis, or related fields preferred.
- 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
- Experience working in Agile/Scrum environments with cross-functional technology teams.
- CSPO, PSPO, CBAP, or CCBA certifications are desirable.
Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
2
Mandatory(Experience 1)- Must have 6+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface).
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Mandatory(Experience 2) - Must have consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.
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Mandatory(Experience 3)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.
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Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.
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Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).
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Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.
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Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.
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Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.
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Full Stack Developer - Averlon