Product Manager - AI - Go to Market

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.
•  

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)

Key Responsibilities

• Own and execute end-to-end GTM strategies for AI and technology products.
• Define target segments, ICP, use cases, positioning, messaging, and differentiation.
• Develop and execute product launch strategies across relevant channels.
• Partner closely with Sales, Marketing, Growth, and Product teams to drive pipeline, conversion, and adoption.
• Develop product messaging, sales enablement materials, use cases, and market-facing content.
• Conduct customer, market, and competitive research to identify new opportunities.
• Translate customer and market insights into product improvements and roadmap priorities.
• Work on pricing, packaging, monetization, and commercial strategy.
• Track adoption, activation, conversion, and other GTM metrics and continuously optimize.
• Identify new growth channels, experiments, and scalable GTM opportunities.

What We're Looking For

• 4–10 years of experience in Product Management, GTM, Product Marketing, Growth, Strategy, or related roles.
• Proven experience in taking technology/SaaS products to market.
• Strong understanding of GTM strategy, positioning, customer segmentation, adoption, and growth.
• Experience working closely with Sales and Marketing teams.
• Strong customer and market orientation with the ability to identify and validate business opportunities.
• Strong analytical, communication, and stakeholder-management skills.
• Comfortable working in a fast-paced, high-ownership startup environment

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.

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.

-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.

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.

About the Role

As the Product Manager at CloudKeeper, you will lead the strategy, roadmap, and execution of our real-time Cloud usage optimization and recommendation platforms. 

As we expand our portfolio and deepen capabilities across cost optimization, observability, automation, and cloud management, we are seeking a Product Manager who can drive the vision, roadmap, and execution for one or more products within the CloudKeeper Platform Suite such as Lens, Tuner, Commit, Gen AI and Check

You will work cross-functionally across engineering, data science, FinOps SME, go-to-market and customer success to drive product growth, adoption, and customer value.

Key Responsibilities

• Define the vision and product strategy for CloudKeeper Platform Suite, aligned with overall cloud cost & usage optimization goals and the broader CloudKeeper solutions.
• Own the product roadmap: prioritize features, enhancements, integrations, and user experience improvements
• Own end-to-end product lifecycle: concept → PRDs → UX/design → development → launch → iteration
• Work with UX/design to craft intuitive workflows for engineering/DevOps users, ensuring that insights embed into their flow of work 
• Engage with customers (particularly engineering and FinOps teams) to gather feedback, identify pain points, and validate product direction.
• Drive annual planning, release cycles, and sprint delivery (Agile methodology) while ensuring high quality and timely launch of features.
• Ensure appropriate documentation, training materials, and enablement for internal teams and external customers.

Desired Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
• 5+ years of product management experience in SaaS, preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
• Experience in B2B / Enterprise SaaS product development is a must (B2C product experience will not be considered)
• Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns. 
• Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
• Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)

Preferred 

• Prior experience in cloud cost optimization, cost-management tools, or FinOps practices is a strong plus
• Exposure to FinOps platforms or cloud cost optimization tools (e.g., AWS Cost Explorer/CUR, CloudHealth or equivalents)

What You’ll Work On

• Lead development and launch of next-gen recommendation engine enhancements (e.g., smarter detection of idle/over-provisioned resources).
• Evolve CloudKeeper’s industry-leading Guaranteed Savings model and its underlying pricing, automation, and governance engines
• Design conversational, AI-powered experiences that guide engineers through optimization opportunities, troubleshooting, and architectural decisions
• Define and refine metrics around savings impact, recommendation adoption, user engagement, churn, and product-market fit.
• Explore spaces like multi-cloud optimization, FinOps governance frameworks, cloud budgeting & forecasting, or cloud-native developer tools.
• Identify gaps in the cloud management ecosystem and work with leadership to incubate entirely new product lines, from concept to MVP to full-scale launch

What We Offer

• The opportunity to own a high-impact product in the rapidly growing FinOps/cloud cost optimisation space.
• A collaborative, innovative environment with talented teams in engineering, data science, UX, and product.
• The chance to make a measurable difference: help customers reduce cloud cost while maintaining performance and accelerate their cloud usage optimisation journey.

POSITION: Product Marketing Manager

Job Mode : Remote 

Shift Timings: 6.00 pm to 3.00 am IST (EST Time Zone)

We are seeking a Product Marketing Manager with a proven track record in B2B SaaS product

marketing. This individual will be responsible for positioning our products in the market, driving go-to-market strategies, and enabling sales teams with compelling messaging and competitive intelligence. You will report to the VP of Demand Generation & Revenue Strategy and work cross-functionally with Product, Sales, Customer Success, and Marketing teams.

JOB OVERVIEW:

Product Positioning & Messaging

● Develop and refine product positioning, messaging, and value propositions that resonate with target

audiences

● Create compelling product narratives that differentiate SalesIntel in competitive markets

● Conduct market research and competitive analysis to inform positioning strategies

● Develop messaging frameworks for different customer segments (SMB, Mid-Market, Enterprise)

Go-to-Market Strategy

● Lead go-to-market planning and execution for new product launches and feature releases

● Collaborate with Product teams to understand roadmap priorities and translate technical capabilities

into market-facing benefits

● Define target customer segments, buyer personas, and ideal customer profiles

● Develop pricing and packaging strategies in partnership with Product and Revenue teams

Sales Enablement & Training

● Create sales enablement materials including battle cards, competitive positioning, objection handling

guides, and demo scripts

● Develop and maintain sales training programs on product positioning, competitive differentiation, and

customer use cases

● Partner with Sales leadership to understand pipeline challenges and create materials to address

conversion bottlenecks

● Conduct regular sales training sessions and product updates

Customer & Market Intelligence

● Gather customer insights through interviews, surveys, and feedback analysis to inform product and

marketing strategies

● Analyze market trends, competitive landscape, and customer behavior to identify opportunities

● Create buyer journey maps and understand decision-making processes

Content & Campaign Strategy

● Develop product-focused content including whitepapers, solution briefs, webinars, and thought

leadership pieces

● Collaborate with Marketing teams to create integrated campaigns that drive product awareness and

adoption

● Create product marketing assets for trade shows, conferences, and industry events

● Support customer marketing initiatives with product-specific messaging and positioning

Cross-functional Collaboration

● Work closely with Product Management to influence roadmap priorities based on market feedback

● Partner with Customer Success to understand customer adoption patterns and expansion

opportunities

● Collaborate with Marketing teams to ensure consistent messaging across all channels

● Support Revenue teams with competitive intelligence and win/loss analysis

Performance Measurement

● Define and track product marketing KPIs including message resonance, sales adoption of materials,

and pipeline influence

● Conduct win/loss analysis to understand competitive positioning effectiveness

● Measure and optimize sales enablement program impact on conversion rates and deal velocity

● Analyze customer feedback and market response to refine messaging and positioning

REQUIRED SKILLS & QUALIFICATIONS:

● 10+ years of product marketing experience, preferably in B2B SaaS

● Experience in product positioning, go-to-market strategy, and competitive analysis

● Proven track record in sales enablement and creating materials that drive revenue impact

● Experience with market research, customer interviews, and competitive intelligence

● Deep understanding of B2B sales processes and buyer journeys

Technical Skills:

● Proficiency with CRM systems (Salesforce, HubSpot) and marketing automation platforms

● Strong analytical skills with experience in performance measurement and KPI tracking

● Familiarity with product management tools and methodologies

Core Competencies:

● Strong written and verbal communication skills with ability to translate technical concepts into

business value

● Analytical mindset with data-driven approach to strategy development

● Excellent project management skills with ability to manage multiple product launches simultaneously

● Experience working in fast-paced, high-growth SaaS environments

● Proven ability to influence cross-functional teams without direct authority

PREFERRED SKILLS & QUALIFICATIONS:

● SaaS experience across SMB, Mid-Market, and Enterprise segments

● Experience with AI-powered sales and marketing tools

● Experience working with remote and globally distributed teams

● Previous experience in customer-facing roles (sales, customer success, consulting)

REPORTING: This position will report to the Chief Revenue Officer or assigned Manager within the Department.

EMPLOYMENT TYPE: Full-Time

LOCATION: Remote