Senior Product Manager (Forward Deployed)

Roles & Responsibilities

What you'll do

• Embed with enterprise customers to understand their business processes, systems landscape, and data. Translate that into concrete use cases for AI agents, automations, and applications.
• Build working solutions on the UnifyApps platform yourself, using the no-code builders, integrations, and data layer. Ship, iterate, and get to production.
• Own the technical and functional design of deployments across systems like Salesforce, Workday, SAP, ServiceNow, core banking and telecom stacks.
• Work with customer stakeholders from process owners up to CXOs. Run discovery workshops, demos, solution reviews, and go-live.
• Define success metrics for each deployment and hold the deployment to them.
• Feed patterns and gaps back to the core product and engineering teams. Turn repeated custom work into platform capability.
• Support pre-sales and pilot conversations where deep product depth is needed.

Ideal Candidate

1Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery

2Mandatory (Experience 1) - Must have 4+ years of product management experience with a track record of shipping successful products with product companies

3Mandatory (Experience 2) Must have hands-on experience driving platform deployment and integrations for enterprise clients — acting as the technical/product owner to understand client requirements, design the solution, and connect the platform with enterprise systems, APIs, and data sources.

4Mandatory (Tech skill 1) - Must have strong technical aptitude with hands-on experience in GenAI and API integrations

5Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders

6Mandatory (Skill 2): Must be very good at making impactful presentations, with strong communication and presentation skills

7Mandatory (Skill 3) - Must have a bias to build, with comfort in ambiguity and evolving scope

8Mandatory (Skill 3): Must be able to lead and mentor a team of Forward Deployed Engineers, helping them grow into future product leaders

9Mandatory (Company) - Tier1 B2C product companies or Series B+ funded B2B product companies

10Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

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:

We are looking for a Forward Deployed Engineer to work closely with customers and build technical solutions to solve real-world business problems.

This is a highly customer-facing engineering role, combining full-stack development, AI and solution engineering. You will work in ambiguous environments, take end-to-end ownership and turn customer requirements into working product solutions.

Key Responsibilities:

• Work directly with customers to understand technical and business requirements.
• Design, build and deploy full-stack solutions and product features.
• Integrate AI/LLM capabilities into applications and workflows.
• Troubleshoot technical challenges and develop practical solutions.
• Collaborate with product and engineering teams to deliver customer-focused solutions.
• Take ownership of projects from requirement gathering through implementation.
• Work effectively in fast-paced and ambiguous environments.

What We're Looking For:

• Experience as a Full Stack Engineer, Product Engineer, AI Engineer, Solutions Engineer, Solutions Architect or similar role.
• Strong understanding of both frontend and backend development.
• Experience building and contributing to real-world product features.
• Exposure to AI/LLMs, Copilots, AI automation or GenAI tools.
• Strong problem-solving and customer-facing communication skills.
• Ability to work independently and take ownership of outcomes.
• Comfortable working with evolving requirements and ambiguity.

Preferred Background

• Candidates from product/SaaS companies, AI startups, or modern technology environments are preferred.
• Experience working with product clients through a service-based organization will also be considered, provided you have strong hands-on product engineering experience.
• Important: This is not a backend-only role. Strong full-stack exposure and the ability to work directly with customers are essential.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

About the Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team and work at the intersection of cutting-edge AI and complex enterprise software. You'll embed directly with customer engineering teams, writing production code, architecting solutions, and helping customers transform how they build software with Blitzy.

This isn't a traditional solutions engineering role. We're looking for a hands-on engineer who thrives in ambiguous environments and is equally comfortable debugging integrations, building Java/Spring Boot services, participating in sprint planning, or whiteboarding architecture with a CTO.

The role centers on our Java/Spring Boot enterprise stack, spanning REST services, event-driven microservices, integrations, and production operations. You'll work closely with US-based engineering and customer teams, with regular time zone overlap for collaboration and handoffs.

You'll also influence our product roadmap through direct customer feedback, identifying new use cases and technical challenges that shape Blitzy's evolution. High performers may have opportunities to visit our Cambridge, MA headquarters and transition into core product or platform engineering as we scale.

Responsibilities

• Deploy Blitzy into complex enterprise environments, navigating technical constraints and translating customer business goals into practical technical solutions
• Embed with customer teams during critical implementations, partnering with engineering leaders on sprint planning, architecture reviews, technical decisions, and production deployments
• Build production-quality integrations, services, and extensions using Java 17 and Spring Boot 3.x, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger, with data persistence through PostgreSQL, Hibernate/JPA, and Liquibase
• Package and deploy containerized services with Docker and manage dependencies through Maven, including BOMs and multi-module projects
• Develop custom solutions, reusable patterns, scripts, and tools that accelerate customer adoption and demonstrate Blitzy’s capabilities in enterprise environments
• Debug complex issues spanning customer infrastructure, integrations, microservices, and the Blitzy platform, supporting production operations, health checks, metrics, and configuration management
• Drive successful POCs and technical demonstrations that showcase advanced use cases, deliver measurable value, and expand into enterprise-wide deployments
• Maintain high standards for testing, code quality, performance, and observability using JUnit 5, Cucumber/Gherkin, JMeter, Git, Logback/SLF4J, SpotBugs, and SonarQube
• Identify recurring customer needs, technical patterns, and expansion opportunities that inform product priorities and enterprise adoption
• Collaborate with product and engineering teams to translate field experience into platform improvements, technical documentation, reusable best practices, and contributions to the core product

Qualifications

• 8+ years of software engineering experience with a track record of shipping production code in enterprise environments
• Recent or past experience in global technology consulting environments, with direct engagement with the customer's engineering leadership teams.
• Deep hands-on expertise with Java 17, Spring Boot 3.x, Spring MVC, Spring Data JPA, Spring Security, Hibernate/JPA, and Actuator
• Strong experience with REST APIs, OpenAPI/Swagger, PostgreSQL, Liquibase, Maven, Docker, and modern testing practices including JUnit 5, Cucumber/Gherkin, and JMeter
• Experience building and operating microservices with CI/CD, cloud architecture, observability, production monitoring, and tools such as Micrometer, Dynatrace, SpotBugs, and SonarQube
• Knowledge of enterprise modernization and distributed systems, including Java 8 → Java 17 upgrades, monolith → microservices migrations, Kafka, Avro, Schema Registry, caching, and resilience patterns
• Strong understanding of Agile/Scrum and modern software development practices, with the ability to communicate complex technical concepts to audiences ranging from interns to CTOs
• Experience in customer-facing engineering, developer tools, AI/ML, or enterprise modernization is a plus, along with technical thought leadership through blogs, talks, or open-source contributions
• Passion for AI-powered software development and willingness to work in person from Pune, India, with overlap for US-based teams

U.S. GenAI startup, Pune Office, Private Limited Company

Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long enduring career at Blitzy with opportunity for advancement throughout your career at the company. If you want a role you can turn into a career, read on! If you are looking for a short term arrangement, we recommend you look elsewhere!

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

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)

Forward Deployed Implementation Engineer

About the Role

We are looking for a Forward Deployed Implementation Engineer who can work closely with customers and internal teams to successfully implement and operationalize our product.

This is a customer-facing, execution-oriented role that sits at the intersection of Product, Engineering, Accounting, and Customer Operations.

You will own implementations from start to finish — understanding customer requirements, configuring the product, setting up workflows and integrations, troubleshooting issues, coordinating with Engineering/Product, and ensuring customers are successfully onboarded and operational.

This role is ideal for someone who enjoys solving real customer problems, working with data and systems, understanding accounting workflows, and getting things across the finish line.

What You’ll Do

• Own the end-to-end implementation of the product for new and existing customers.
• Understand customer business processes, accounting workflows, and operational requirements.
• Configure customer/entity setups, workflows, recipes, rules, and product features based on business requirements.
• Work with accounting and finance teams to understand their requirements and translate them into product configurations.
• Set up and validate integrations with systems such as accounting platforms, POS systems, banking platforms, and other third-party systems.
• Investigate implementation issues, data discrepancies, integration failures, and workflow problems.
• Work closely with Engineering and Product teams to troubleshoot issues and drive them to resolution.
• Clearly communicate customer requirements, implementation blockers, and product gaps to internal teams.
• Coordinate across multiple stakeholders and ensure implementation tasks are completed on time.
• Test configurations and integrations end-to-end before customer rollout.
• Perform data validation and reconciliation to ensure the system is producing accurate results.
• Support customer/accounting teams during onboarding and transition them successfully to the product.
• Create implementation documentation, playbooks, and repeatable processes.
• Identify recurring customer problems and work with Product/Engineering to improve the product and implementation process.
• Provide feedback from customer implementations to help shape product improvements.

What We’re Looking For

• 2–6 years of experience in implementation, solutions engineering, technical consulting, customer success engineering, business systems, or a similar role.
• Strong problem-solving and analytical skills.
• Comfortable working directly with customers and internal technical teams.
• Ability to understand complex business processes and translate them into system configurations.
• Strong understanding of data, workflows, integrations, and APIs.
• Good understanding of accounting/finance concepts and workflows is highly preferred.
• Comfortable working with spreadsheets and data; SQL knowledge is a strong plus.
• Ability to investigate issues independently and identify the root cause rather than simply escalating problems.
• Strong ownership mindset — you take a problem from "this is broken" to "this is solved."
• Excellent communication skills, both written and verbal.
• Comfortable working in a fast-moving environment where requirements can evolve.
• Ability to manage multiple customer implementations and prioritize effectively.

Good to Have

• Experience with accounting systems such as NetSuite, QuickBooks Online, or similar platforms.
• Experience working with POS systems such as Toast or similar platforms.
• Experience with banking/payment integrations.
• Experience working with REST APIs and integration troubleshooting.
• SQL/Postgres experience.
• Experience working with accounting data, reconciliations, journal entries, revenue, expenses, payouts, or financial reporting.
• Experience in SaaS implementation or B2B software.
• Experience working with Engineering/Product teams in a startup environment.

What This Role Is NOT

This is not a traditional software engineering role where your primary responsibility is writing application code.

You will work closely with Engineering, but your primary responsibility is to:

Understand → Configure → Implement → Validate → Troubleshoot → Deploy → Drive Adoption

You should be comfortable getting hands-on with the product, customer data, integrations, and workflows to solve problems.

Who Will Succeed in This Role?

You will do well if you are someone who:

• Enjoys solving ambiguous problems.
• Can speak comfortably with both customers and engineers.
• Is technically curious and can understand how systems and integrations work.
• Doesn't wait for someone else to solve a problem.
• Can dig into data to find what is actually happening.
• Is comfortable working with accounting/finance teams.
• Enjoys taking ownership of implementations.
• Can balance customer requirements with product capabilities.
• Is willing to get hands-on and figure things out rather than simply following a checklist.

Why Join Us?

You will have significant ownership over how customers successfully adopt the product.

You will work across customers, accounting teams, Product, and Engineering, giving you exposure to both business and technology.

This role is a great opportunity for someone who wants to grow into a Solutions Engineer, Implementation Lead, Product Specialist, or Forward Deployed Engineer while working on real-world customer problems.

Role: Forward Deployment Engineer (FDE)

Company: Comprinno (NASSCOM-incubated, AWS Advanced Consulting Partner)

Experience: 5 to 8 years

About the Role:

Comprinno is hiring a Forward Deployment Engineer to work directly with customers, identify business challenges, and turn them into working AI solutions on AWS. This is a customer-facing role that blends consulting, solution architecture, and hands-on AI engineering.

Key Responsibilities:

• Run discovery workshops with customer stakeholders and translate business problems into technical solutions.
• Design AI and cloud solutions using patterns such as RAG, AI agents, and workflow automation.
• Build POCs, prototypes, and MVPs on AWS (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS) and support the move to production.
• Develop GenAI and agentic solutions, including prompt strategies, evaluation frameworks, and retrieval pipelines.
• Demo solutions, train customer teams, and drive adoption.
• Document architectures and contribute reusable accelerators. Support presales and proposals.

Must-Have Skills:

• 5 to 8 years in solution engineering, technical consulting, presales, product engineering, or similar customer-facing technical roles.
• Hands-on experience building applications, integrations, or prototypes on AWS.
• Strong grasp of LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval.
• Experience with one or more of Amazon Bedrock, OpenAI, Anthropic, LangChain, LangGraph, or CrewAI.
• Experience delivering customer-facing POCs and running requirements or discovery sessions.
• Strong communication and stakeholder management skills, and comfort with ambiguity.
• Willingness to travel or be deputed to customer sites across India and internationally.

Good to Have:

• AWS Solutions Architect certification (Associate or Professional).
• Multi-agent systems, MCP, and AI observability or evaluation tools.
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma).
• DevOps and CI/CD exposure.
• Startup, consulting, or SaaS product experience.

Why Join Comprinno:

• Work at the forefront of GenAI, Agentic AI, and AWS.
• High ownership, with solutions going from idea to production in weeks.
• Exposure to diverse industries and to Comprinno's SaaS platform, Tevico.

About Comprinno:

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

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.
•  

Forward Deployed Engineer (FDE)

About the role

We are hiring a Forward Deployed Engineer (FDE) who takes a client's problem from the first conversation to a working product in production. You will build both the front end and the back end, use AI tools as a daily part of how you work, and own the outcome rather than a ticket queue.

You will also speak with our client directly: demos, status updates, scoping, and respectful pushback when a request will not serve their goal. You will work as part of a team, on site in our Bangalore office.

As a Forward Deployed Engineer, you stay close to the client's problem and outcome using an AI Native approach.

What you will own

You own the outcome from discovery to post-launch, not a single layer of the stack.

• Discover and scope: turn a vague client need into a clear problem statement, a success metric, and a small first release.

• Design and build: deliver the user interface, APIs, and database for features end to end, choosing the simplest approach that works.

• Ship and run: set up deployment (CI/CD, cloud basics), add monitoring, and fix production issues you or your team introduced.

• Communicate with clients: run demos and status calls, write clear async updates, give honest estimates, and flag risks early.

• Iterate on results: review usage and feedback after launch, and decide what to improve, cut, or leave alone.

• Work with the team: review code, share what works with AI tools, and help teammates unblock their own work.

• Protect quality and trust: write tests, review AI-generated code critically, and handle client data and secrets responsibly.

What "AI-native" means here

AI-native means AI tools are part of how you plan, build, and check your work, and you stay accountable for every line that ships. Familiarity with a tool name is not enough.

• You work with coding agents daily (for example Claude Code, Cursor, or Copilot) and can explain how you steer them: specs, context files, task breakdown, and when you take the keyboard back.

• You review AI output critically. You test it, read it for security and maintainability problems, and reject what does not hold up.

• You verify, not just generate. Tests, logging, and checks come with your work, because speed without confidence is not delivery.

• You know when not to use AI, and you can explain that choice to a client in plain language.What we are looking for Experience level matters less than how you work. We value agile, quick learners who can show real shipped work.

Technical baseline

• Language-agnostic engineering: you pick up new languages and frameworks quickly and choose the right tool for the problem, rather than defending a favorite stack.

• Real strength in a few languages or frameworks (for example JavaScript or TypeScript, Python, Java, Go, or C#), shown in projects that span both the front end and back end.

• Fundamentals that carry across stacks: web basics (HTML, CSS, HTTP), designing and consuming APIs, and data modeling with SQL databases.

• Git, pull requests, and basic CI/CD and cloud deployment.

• A track record of using AI tools in real projects.

How you work

• Communication: clear spoken and written English, comfortable on client calls, and able to explain technical trade-offs to non-technical people.

• Ownership: you follow a problem through to resolution and raise issues before they become surprises.

• Outcome focus: you measure your work by what changed for the user or the client, not by lines of code or tasks closed.

• Product thinking: you ask who the user is, what problem we are solving, and how we will know it worked. You suggest simpler options and say what you would leave out.

• Problem solving: you break down unclear problems, form hypotheses, and debug methodically instead of guessing.

• Agility: you are comfortable with changing requirements, short cycles, and learning new tools quickly.

Nice to have

• Prior client-facing, consulting, or agency experience, especially with North American clients.

• Docker, a major cloud provider (AWS, Azure, or GCP), and infrastructure basics.

• Experience with testing frameworks, observability tools, and performance tuning.

• Awareness of secure coding, privacy expectations, and common client compliance requirements

such as SOC 2.

• Open-source contributions, technical writing, or a deployed side project you can demo.

How we evaluate

We look at what you have built, not only how you interview. Please be ready to share your Git repositories and any deployed work.

1. Application and Git review: send a link to your repositories (GitHub, GitLab, or similar) with a short note on the project you are proudest of. We read your commit history, pull requests, tests, and README, and try the deployed demo if there is one.2. Project walkthrough: a conversation where you explain one project in depth: the problem, your

key decisions, what broke, what you would change, and how you used AI along the way.

3. Practical exercise with AI tools allowed: a short build task where we watch how you plan, direct your tools, and verify the result.

4. Client communication round: a mock client call where you present your work, answer questions, and handle a change in scope.

5. Team and values conversation: how you collaborate, take feedback, and own mistakes.

If your best work is under NDA, tell us. You can describe it in the walkthrough and show a side project in the repository review instead.

Role details

Title : Forward Deployed Engineer (FDE)

Employment type : Full-time employee

Location : On site, Bangalore office (not at client sites)

Experience level : Open: we hire for agility and proven work, not

years

Team :Part of a project team, working alongside a

product or account lead

Client contact : Shared: you and the lead both speak with North

American clients

Domain : Generalist, across industries

Working-hours overlap with North America and compensation range are still to be confirmed before this is published.

If any candidates interested for above role, pls drop message on this WhatsApp number

nine three one six one two zero one three two

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