Product Owner/Product Manager (AI/ML)

Required Skills

• Profound experience as a Product Owner of a Scrum team and associated practices and methods
• Experience in application support and maintenance
• Excellent analytical, technical troubleshooting and problem-solving abilities
• Background in Software Development of Java / .NET Enterprise Applications, test automation, and system/solution testing in different environments
• Familiarity with Agile tools (e.g., Jira, Azure DevOps, Confluence)
• Experience in defining and prioritizing user stories, acceptance criteria, and MVPs
• Solid IT background (Operating systems, Databases, Networks)
• Very good experience in DevSecOps practices
• Detail-oriented with excellent organizational skills
• Very good communication skills in multicultural environments

Role Overview

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

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)

We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).

Must Have:

- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)

Good to Have:

- Experience with AI/ML products, prompt engineering, LangChain, or RAG.

Job Description

This is a remote position.

Experience Level

We're looking for a seasoned Product Owner with at least 2–4 years of experience owning a product backlog end-to-end within an Agile delivery environment. You should be a "delivery craftsperson" who can demonstrate a track record of turning ambiguous, cross-team requirements into shipped, working software — with particular comfort operating inside platforms where your product's success depends on coordination with teams you don't manage.

Role Overview

As a Product Owner, you will own the backlog and delivery cadence for one product within a tightly interconnected platform, where your product's roadmap depends on — and feeds into — several sibling products. You'll act as the point of alignment between engineering teams, supporting product managers, and client stakeholders, translating business and compliance needs into backlog items ready for a development team to execute against.

A key part of the role is holding the line on requirements quality: defining clear acceptance criteria before work enters a sprint, and sequencing competing demands — new features, maintenance of live services, and production support — that your team carries simultaneously. Because your product does not operate in isolation, a large part of the job is coordinating dependencies across teams that don't report to you.

Key Responsibilities

• Backlog Ownership & Requirements Definition: Own and prioritize the product backlog; define acceptance criteria for accuracy, completeness, and readiness before stories are marked sprint-ready.
• Cross-Team Dependency Coordination: Sequence and negotiate delivery across multiple dependent engineering teams (platform, integration, infrastructure, and adjacent product teams), since most features require multi-team scheduling rather than single-team execution.
• Delivery Prioritization Under Competing Demands: Balance new feature development, maintenance of live production services, and active production support within the same backlog, without letting one silently starve the others.
• Domain Ramp-Up: Build working depth in the specific technical and regulatory domain tied to your assigned product — this may include healthcare EDI transaction standards, web-automation/data-extraction reliability, credential and access-security models, or regulated payments and remittance processing, depending on placement.
• Stakeholder & Requirements Governance: Partner with the supporting Product Manager and client-side stakeholders to close open requirement decisions before development starts, hold sign-off discipline, and manage rework risk from late-stage scope changes.
• Data & Interface Quality Ownership: Where your product's output feeds downstream systems, own the interface contract (field definitions, data completeness, naming) to prevent avoidable rework further down the chain.

Requirements

What We're Looking For

• Proven Product Ownership Experience: Track record owning a backlog end-to-end in an Agile environment, ideally within a platform where products are tightly coupled rather than independent.
• Domain Adaptability: Comfort ramping quickly into unfamiliar technical or regulatory domains — some assignments require near-immediate fluency (e.g., regulated payments, EDI standards), while others allow for a longer runway.
• Cross-Functional Coordination Skills: Demonstrated ability to sequence work and resolve competing priorities across multiple engineering teams that don't report into the same chain.
• Analytical Rigor: Ability to write precise, testable acceptance criteria and reason through data quality or completeness gaps before they become delivery blockers.
• Strong Stakeholder Communication: Comfortable representing product status and trade-offs to both engineering teams and client-facing stakeholders, in plain, non-technical language when needed.
•  Judgment Under Ambiguity: Able to recognize when a decision needs escalation versus independent ownership — particularly important for the more regulation-heavy assignments, where working without senior support isn't advisable early on.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

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.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

-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.

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).

3

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.

4

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.

5

Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

6

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).

7

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.

8

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.

9

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.

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About

Asha Health is building an AI OS for outpatient care. It’s the year of AI agents, and startups selling AI agents to healthcare organizations will do great in this wave. While we’re rooting for them, we’re building what comes after. We're based in New York and backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Product Manager, AI to join our team in our Bangalore office. With how AI models are evolving, we don't believe in traditional roles. Whereas in an old-school company you may write long PRDs and hand off to designers and engineering, and spend weeks in back and forths trying to get 1 feature approved, we operate completely differently. Here's what your day-to-day may look like:

• Instead of writing PRD's, you'll build prototypes.
• You'll be responsible for prioritizing which pain points to solve, outlining how we should solve them, and designing the user experience yourself as well (with the power of our AI design tools).
• At any given time, you may be using AI coding tools and AI design tools to parallel track prototypes for 5-10 large features.
• Rather than waiting weeks for approvals, features you prototype will be handed off to engineering and be shipped into production an average of 2-5 days.
• You will talk to customers and research the domain deeply - becoming an expert for the team on domain knowledge and product strategy.

Requirements

• Prior experience working as a Product Manager at a venture backed startup.
• Either (A) strong experience professionally as a software engineer, or (B) exceptional UX design skills. Must be multifaceted in one of these 2 ways.

Roles and Responsibilities for Product Owner / Data Solution Specialist

Role purpose

Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.

Key responsibilities

• Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.

• Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.

• Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.

• Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model. The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.

• Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.

• Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.

• Drive stakeholder reviews, requirement/design decisions and formal business sign-offs. 

• Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.

• Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.

Experience/profile required

• 7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.

• Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.

• Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.

• Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.

• Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.

• Strong communication and stakeholder-management skills across regional and market teams.

• Strong problem-solving abilities with an emphasis on data-driven decision-making 

Interested candidates can share their cv at dipaliattheratebeanhr.com