Product Manager

Technical Product Manager – Healthcare

Required Experience

• 5+ years in technology product or platform product roles.
• Demonstrated experience delivering healthcare technology products.
• Direct exposure to healthcare data, analytics, or AI-enabled solutions.
• Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance.
• Proven ability to lead complex healthcare initiatives through ambiguity and change.

Healthcare Domain Expertise

• Strong understanding of healthcare operations and workflows, including:
• Payer
• Provider
• Care Management
• Familiarity with healthcare domains such as:
• Utilization Management (UM)
• Care Management / Case Management
• Prior Authorization
• Ability to translate clinical and operational workflows into scalable technology solutions.
• Strong understanding of regulatory, compliance, and patient safety considerations in product decisions.

Product & Strategy

• Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking.
• Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden.
• Roadmap ownership integrating:
• Core healthcare capabilities
• Data and interoperability foundations
• Analytics and AI enablement
• Prioritization informed by:
• Clinical impact
• Operational value
• Feasibility
• Risk
• Strong problem framing focused on insight generation, automation, and scale.

Data, Analytics & AI Enablement

• Working understanding of:
• Healthcare data domains, including member, provider, clinical, authorization, and outcomes data.
• Data flows across payer, provider, and partner systems.
• Ability to partner with Data Engineering, Analytics, and AI teams to:
• Enable reliable healthcare analytics and reporting.
• Support decision-making through insights and AI-assisted summarization.
• Experience defining requirements for:
• Operational and clinical dashboards.
• KPIs tied to quality, efficiency, cost, and experience.
• AI-enabled analytics, including summarization, prioritization, and decision support.
• Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare.

AI & Automation in Healthcare

• Understanding of AI use cases relevant to healthcare:
• Clinical and operational summarization.
• Decision support with human-in-the-loop.
• Workflow automation and prioritization.
• Ability to balance innovation with:
• Responsible AI practices.
• Explainability and auditability.
• Regulatory and ethical considerations.
• Experience guiding AI from pilot to production to scaled adoption in healthcare settings.

Technology & Architecture Knowledge

• Understanding of modern architectures supporting healthcare data and AI:
• APIs
• Microservices
• Cloud platforms
• Data platforms
• Interoperability layers
• Integration patterns
• Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind.
• Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems.

Delivery & Execution

• Agile / SAFe execution with emphasis on progress, readiness, and adoption.
• Strong dependency and risk management across:
• Product teams
• Data pipelines
• Analytics platforms
• AI platforms
• Release planning that includes:
• Data readiness and validation.
• Analytics accuracy.
• AI model monitoring.
• Compliance checks.

Stakeholder & Communication

• Trusted partner to business, clinical, and operations leaders.
• Clear articulation of trade-offs, risks, and value realization.

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)

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.

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

Senior Product Manager – AI / B2B SaaS

Location: Bengaluru

Work Mode: Work from Office

Experience: 5+ years

Department: Product Management

About LeadSquared

LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale.

We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.

Role Overview

We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared.

Key Responsibilities

• Own the roadmap, prioritisation, and end-to-end execution for your AI product area.
• Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.
• Drive products from discovery and 0→1 development through launch, adoption, and iteration.
• Build and scale end-user-facing AI experiences that work reliably within enterprise workflows. 
• Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems.
• Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products.
• Define and track product adoption, engagement, customer outcomes, and business impact.
• Drive GTM, adoption, and continuous product optimisation.

What We're Looking For

• 5+ years of Product Management experience.
• 2+ years of hands-on Product Management experience building AI products.
• Strong B2B SaaS product experience.
• Experience in 0→1 product development and launches.
• Strong product discovery, prioritisation, roadmap management, and execution skills.
• Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.
• Data-driven approach with strong understanding of product metrics.
• Excellent communication, problem-solving, and stakeholder management skills.
• Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred.

Good to Have

• Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems.
• Experience in CRM, SalesTech, MarTech, or Enterprise SaaS.
• Experience building AI products for sales, revenue, operations, or other enterprise users.
• Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product.
• Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.
•  

Job Title : Senior Product Manager (Forward Deployed)

Experience : 4 to 8 Years

Location : Bengaluru | Mumbai | Pune

Positions : 20

Work Mode : In-Office – 5 Days

Job Role :

We are looking for a Senior Product Manager – Forward Deployed to work closely with enterprise customers, understand complex business requirements, and translate them into AI-powered solutions using the UnifyApps platform.

The role requires a strong combination of Product Management, technical solutioning, enterprise integrations, GenAI, and customer-facing skills. You will own the customer journey from discovery and solution design through deployment, go-live, and outcome measurement.

Key Responsibilities :

• Work closely with enterprise customers to identify use cases and requirements.
• Build and deploy AI agents, automations and applications.
• Own technical & functional solution design and enterprise integrations.
• Conduct discovery workshops, demos and go-live activities.
• Define deployment success metrics and drive outcomes.
• Collaborate with Product & Engineering to turn customer needs into platform capabilities.
• Lead and mentor Forward Deployed Engineers.

Must Have :

✅ 4+ years of Product Management experience in product companies.

✅ Enterprise platform deployment & integration experience.

✅ Strong technical aptitude with GenAI & API integrations.

✅ Experience working with Engineering, Design & QA teams.

✅ Excellent presentation and communication skills.

✅ Strong problem-solving and execution mindset.

✅ Tier-1 B2C product or Series B+ B2B product company experience.

⭐ Preferred : Enterprise AI deployment experience, including agent evaluation, guardrails and observability.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ 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 a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

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

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (Age) - Candidate's age should be below 32 years

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ 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 a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

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

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ 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 a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

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

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ 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 a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

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

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)