AI Engineering Product Manager at J&F · Remote only · 5 - 14 years · ₹20L - ₹50L / yr · Bootstrapped · Remote only · Posted 21 Aug 2026
NodeJS (Node.js)
Machine Learning (ML)
Data ScienceRun delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space
Role overview-
We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.
This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the
difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing
What you’ll own- Delivery ownership
- Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
- Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
- Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
- Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
- Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
- Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
- Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
- Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
- Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
- Run the release calendar across two products so neither becomes the permanent second priority.
The floor & the team.
Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.
- Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
- Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
- Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
- Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
- Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
- Manage internal stakeholder expectations and, where relevant, commitments made to customers.
- Spot when a “small clarification” is actually a scope change, and handle it as one.
- Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.
Challenges you’ll solve.
We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.
Domain knowledge that arrives as tribal knowledge
Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have
— it produces work that looks finished and is not.
Three disciplines, one release
Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same
product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.
Correctness is not negotiable
This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.
AI workstreams do not estimate like CRUD
Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-
week ticket.
Live customers, finite engineers
Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,
and be able to defend it.
Two products, one organisation
The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.
Founder-adjacent, fast-changing priorities
Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.
Qualifications.
- 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
- Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
- Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.
Strongly preferred
- Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
- Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
- Experience managing teams that included AI / ML engineers alongside conventional product engineers.
- Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.
The bar, the process, the offer.
The manager we’re looking for
Technical enough to be trusted
Engineers respect the questions you ask, not just the dates you set.
Owns outcomes, not activity
Measures the job by what shipped and worked, not by how busy the board looked.
Direct and specific
Says the uncomfortable thing early, in plain language, to the person who needs to hear it.
Reduces chaos
Leaves every process, plan, and handoff simpler than they found it.
Holds opinions loosely
Strong views on how to run delivery, updated when the evidence changes.
Raises the standard around them
The team becomes more predictable and more capable because you are in it.
Shubham Vishwakarma
Full Stack Developer - Averlon
About J&F
About
At J&F, we are a globally established engineering consultancy with over 500 engineers and detailers across five countries, delivering high-quality engineering solutions for buildings and infrastructure projects. We specialize in BIM-enabled Structural and MEP engineering, combining deep technical expertise with digital innovation to help clients execute complex projects efficiently, accurately, and at scale.
Through our two core business lines—Virtual Technical Office and End-to-End Engineering Solutions—we provide tailored engineering support as well as fully integrated project planning and supervision. By partnering closely with our clients, we deliver sustainable, cost-effective, and technology-driven solutions across a wide range of sectors, ensuring engineering excellence throughout every stage of the project lifecycle.
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ROLE SUMMARY:
In this role, you will be responsible for supporting people, technical processes, and engineering execution to ensure projects are delivered as per scope, budget, and timelines.
This role includes developing detailed project plans and comprehensive technical documentation, managing project Engineers and their availability, measuring engineering performance, tracking progress, and communicating project status to clients and internal stakeholders. You will work directly with Solutions Architects, Tech Leads, and Engineering teams to evaluate technical trade-offs, drive system design feasibility, and unblock engineering bottlenecks.
You will be a reliable and crucial team member who can anticipate client needs and translate complex technical requirements into actionable project milestones.
As a Technical Project Manager, you will be the point of contact for all stakeholders from initiation to closure and will be responsible for leading the technical delivery team to achieve project objectives. You will work towards balancing technical constraints, technical debt, and Engineer availability on the project. You will report project status to client and internal stakeholders, escalate technical and operational issues as needed, and perform risk management to identify and mitigate architectural and delivery risks while maintaining strong advocacy within your spheres of influence.
QUALIFICATIONS:
Technical Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience and a prior background as a Software Engineer, Tech Lead, or Developer.
Strong expertise in Agile methodologies (Scrum/Kanban).
Must have handled end-to-end SDLC projects as a Technical Project Manager or Scrum Master.
WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?
Handle a portfolio of technical projects and clients in parallel and across geographies.
Develop an execution plan for projects, release schedules, CI/CD milestones, and team allocation.
Partner with technical leads to review high-level system designs, break down complex requirements into epics and user stories, and challenge technical estimates effectively.
Maintain strong relationships with product delivery, engineering leads, sales teams, clients, and account managers.
Expertise in project estimation, planning, tracking, scope control, technical risk and issues management, as well as engineering status reporting.
GOOD TO HAVE:
Hands-on or architecture exposure to.NET/Java/AWS/Azure or microservices architectures.
PMP / PMI-ACP / CSM (Certified ScrumMaster) certification.
Jira/Confluence project management tools expertise, Git workflows, and strong working knowledge of Microsoft Office.
COMPETENCIES:
Strong commitment to professional client service and engineering excellence.
Excellent communication (written, verbal, and presentation), persuasive, and negotiating skills—with the ability to bridge technical and non-technical stakeholders.
Encourage, motivate, and mentor team members on agile practices and technical ownership.
Proactive can-do and technical problem-solving approach to the job.
Regards
Job Description
This is a remote position.
Our Core Value
- Client Success: Our clients’ success is our success
- Extreme Ownership: We own our work and its outcomes fully
- Proactive Collaboration: Teamwork elevates us all
- Quality with Pragmatism: We aim for excellence with a focus on practical solutions
- Effective Feedback: Honest, constructive feedback fosters improvement
- Proactive Collaboration: Teamwork elevates us all
Experience Level
We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results
Role Overview
As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.
A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution
Key Responsibilities
- Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
- Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
- Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
- Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively
Requirements
What We're Looking For
- Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
- Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
- Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
- Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
- Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
- Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process
Benefits
What We Offer
- Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
- Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
- Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
- Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
- Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
- And More: Extra perks to support your well-being and professional growth.
Work Environment
- Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results.
- Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
- Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.
Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Role Purpose
The Program Manager is responsible for governing and coordinating multiple customer implementations and support engagements, ensuring successful delivery of IAN products and solutions across customers, teams, and delivery streams.
The role provides portfolio-level oversight across implementation, configuration, integration, quality assurance, data validation, cloud deployment, and support functions while driving delivery excellence, customer satisfaction, operational scalability, and successful business outcomes. The Program Manager works closely with Technical Project Managers, Implementation Architects, Delivery Leads, Product Teams, and Customer Stakeholders to ensure delivery commitments are met.
Key Responsibilities
- Govern and oversee multiple customer implementations and support engagements.
- Manage program-level planning, resource allocation, capacity management, and delivery forecasting.
- Ensure successful delivery of customer commitments, implementation milestones, support obligations, and business outcomes.
- Monitor overall program health, risks, dependencies, budgets, and delivery performance across customers.
- Partner with Technical Project Managers to ensure successful execution of customer implementation projects.
- Work closely with Implementation Architects, Lead Business Analysts, Lead Configurators, Lead Integration, Lead QA, AI & Data Validation Specialists, and Support Delivery Leads to align delivery activities.
- Oversee implementation and adoption of workflow automation solutions leveraging technologies such as n8n, Camunda, Apache Camel, and related orchestration platforms.
- Coordinate environment readiness, deployment planning, release activities, production cutovers, and support transitions.
- Act as the primary escalation point for delivery, support, resource, and customer management issues.
- Drive customer governance meetings, steering committee reviews, executive reporting, and stakeholder communications.
- Track and report implementation progress, delivery performance, resource utilization, risks, and customer satisfaction metrics.
- Ensure smooth transition from implementation to production support and operational ownership.
- Support implementation planning, prioritization, staffing, and delivery optimization initiatives.
- Drive continuous improvement initiatives across delivery, implementation, support, and operational processes.
- Collaborate with Product, Engineering, and Leadership teams to align customer needs with platform capabilities and product roadmap priorities.
Required Skills & Experience
- Bachelor's degree in computer science, Engineering, Information Systems, Business, or related field.
- 18–21 years of experience in technical program management, delivery management, implementation management, or professional services leadership.
- Strong experience in the Property & Casualty (P&C) Insurance domain; Knowledge of Commercial Lines and Specialty Insurance, considered an advantage.
- Experience managing multiple concurrent enterprise software implementations and customer engagements.
- Strong understanding of enterprise software implementation and delivery lifecycles.
- Good understanding of workflow automation platforms, configurable enterprise applications, and implementation-driven delivery models.
- Good understanding of BPMN-based workflow automation, business process orchestration platforms such as Camunda, Flowable, Appian or similar technologies.
- Understanding enterprise integrations, APIs, data migration, and cloud-based solution deployments.
- Understanding of cloud hosting models, environment management, deployment planning, and release coordination across Azure environments.
- Ability to manage delivery dependencies across workflows, integrations, business rules, forms, cloud environments, data validation, and customer onboarding activities.
- Experience managing cross-functional delivery teams comprising Architects, Business Analysts, Configurators, Developers, QA, Data Validation, and Support teams.
- Strong understanding of Agile delivery, release management, customer onboarding, and support transition processes.
- Experience managing customer escalations, delivery risks, budgets, and program dependencies.
- Strong understanding of resource planning, capacity management, utilization tracking, and delivery forecasting.
- Excellent stakeholder management, executive communication, leadership, and decision-making skills.
- Proven experience working with insurance carriers and clients across North America or Europe.
Desired Skills
- Experience with intelligent automation, document processing, AI-enabled solutions, or workflow-driven platforms.
- Experience working with SaaS platforms, InsurTech solutions, or enterprise workflow automation products.
PMP, PgMP, SAFe, PRINCE2, or equivalent program management certification
About Solutionara
Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center in Noida, India.
As a fast-scaling consulting firm, we operate with high ownership, lean teams, and disciplined execution. We are also evolving toward an AI-enabled delivery model, focused on enterprise integration, digital transformation, and scalable technology solutions for global clients.
Our GDC plays a critical role in building high-impact engineering and delivery teams while driving operational excellence through structured processes and intelligent automation.
Location: Noida, Uttar Pradesh | On-site
Experience: 5–9 Years
Employment: Full-Time
Industry: IT Consulting & Technology Services
About the Role
Solutionara is looking for a Technical Project Manager – Enterprise Technology to join our Global Delivery Center in Noida.
This is a hands-on technology delivery role for someone who can operate effectively between project management and engineering teams. You will be responsible for translating technical work into structured delivery plans, coordinating cross-functional engineering teams, managing technical dependencies and risks, and driving projects from planning through deployment and stabilization.
You will work closely with Solution Architects, Technical Leads, Developers, Integration Engineers, Data Engineers, DevOps, QA, Business Analysts, client stakeholders, and vendors.
This role requires more than maintaining Jira boards and scheduling meetings. We are looking for someone who understands how technology projects are actually delivered and can ask the right questions when architecture, environments, APIs, integrations, infrastructure, data, testing, or deployment dependencies begin affecting the plan.
What You'll Do
Technical Project Delivery
- Manage technology projects from requirements and planning through development, integration, testing, deployment, and hypercare.
- Build and maintain detailed project plans, milestones, technical workstreams, dependencies, deliverables, and release schedules.
- Translate technical activities and engineering estimates into executable delivery plans.
- Coordinate work across application development, integration, cloud/DevOps, data, QA, architecture, and infrastructure teams.
- Understand technical blockers sufficiently to identify their delivery impact and drive the appropriate teams toward resolution.
- Challenge assumptions, timelines, estimates, and dependencies when delivery risks emerge.
- Ensure technical decisions, dependencies, assumptions, and actions are documented and followed through.
Delivery Governance & Control
- Maintain RAID logs, dependency trackers, decision logs, action items, milestones, and project health indicators.
- Identify schedule, resource, technical, environmental, integration, and deployment risks before they become delivery failures.
- Establish clear ownership and due dates for risks, issues, dependencies, and actions.
- Track planned versus actual progress and develop recovery plans when projects begin to slip.
- Manage scope changes and coordinate impact assessments across schedule, resources, technical dependencies, and delivery commitments.
- Escalate issues with clear impact, options, recommendations, and required decisions.
- Maintain accurate project documentation and delivery visibility for leadership and stakeholders.
Engineering & Cross-Functional Coordination
- Work closely with Solution Architects and Technical Leads to understand solution architecture and implementation dependencies.
- Coordinate API, integration, application, infrastructure, data, security, environment, and testing dependencies.
- Facilitate technical planning and dependency discussions across engineering teams.
- Coordinate development readiness, QA readiness, UAT, release readiness, cutover, deployment, and production stabilization.
- Ensure environments, access, infrastructure, test data, interfaces, and external dependencies are available when required.
- Track defects, technical blockers, and production-readiness items through closure.
- Support technical teams without attempting to replace the engineering or architecture functions.
Client & Stakeholder Management
- Participate in and lead client status meetings, delivery reviews, technical coordination meetings, and project governance discussions.
- Communicate technical issues in clear business and delivery terms.
- Provide concise project health reporting covering progress, risks, dependencies, decisions, and upcoming milestones.
- Manage stakeholder expectations around scope, timelines, dependencies, and delivery risks.
- Coordinate across India and global teams working in distributed delivery environments.
- Maintain professional, transparent communication when projects encounter delays or technical challenges.
Agile, Release & Delivery Management
- Facilitate sprint planning, backlog readiness, delivery reviews, retrospectives, and other Agile ceremonies where applicable.
- Work with engineering leads to ensure stories and technical activities are sufficiently understood before execution.
- Track sprint commitments without treating Agile metrics as a substitute for actual delivery outcomes.
- Coordinate release planning, UAT, change readiness, cutover activities, go-live, and hypercare.
- Support Agile, Scrum, Waterfall, and hybrid delivery models based on project and client requirements.
AI-Assisted Project Delivery
- Use AI and automation tools to improve project planning, documentation, meeting outputs, risk identification, status reporting, and delivery visibility.
- Identify repetitive project-management activities that can be automated or streamlined.
- Encourage responsible use of AI within project workflows while maintaining appropriate review, confidentiality, and accountability.
- Help Solutionara evolve toward a more data-driven and AI-enabled technology delivery model.
What We're Looking For
- 5–9 years of overall experience in technology delivery, with meaningful experience as a Technical Project Manager, Project Manager, Technical Program Manager, Delivery Lead, or similar role.
- Experience managing software engineering, enterprise application, cloud, integration, data, infrastructure, or digital transformation projects.
- Strong understanding of the Software Development Life Cycle (SDLC) and how software moves from requirements through development, testing, release, and production.
- Sufficient technical fluency to communicate effectively with Architects, Developers, DevOps Engineers, Integration Engineers, QA, and other technical specialists.
- Hands-on experience with project planning, RAID management, dependency management, risk management, change control, and delivery reporting.
- Experience coordinating multiple technical workstreams and dependencies.
- Ability to identify when a technical issue affects the critical path and drive appropriate recovery actions.
- Strong client and stakeholder communication skills.
- Ability to bring structure, ownership, and accountability to ambiguous or fast-moving technology projects.
- Strong problem-solving and escalation-management skills.
- Comfortable working in a fast-paced consulting and Global Delivery Center environment.
Technical Fluency
The Technical Project Manager is not expected to be the Solution Architect or primary developer, but should be comfortable discussing and managing delivery around concepts such as:
- REST/SOAP APIs and enterprise integrations
- Application and microservices architecture
- Cloud infrastructure and AWS/Azure environments
- CI/CD and DevOps pipelines
- Databases and data dependencies
- Development, QA, UAT, staging, and production environments
- Authentication, access, networking, and security dependencies
- Deployment, cutover, rollback, and production support
- Defects, logs, monitoring, incidents, and root-cause analysis
The TPM should be able to understand what is blocked, why it matters, who owns it, what it affects, and what needs to happen next.
Preferred Experience
Experience in one or more of the following areas would be an advantage:
- Enterprise Integration – Dell Boomi, APIs, Middleware, EDI
- AWS or Azure Cloud
- DevOps and CI/CD
- Data Engineering or Data Platforms
- ERP, WMS, CRM, PIM/DAM, or enterprise applications
- Application or legacy modernization
- Microservices and API-led architectures
- Digital portals and enterprise applications
- U.S. or global client delivery
- Consulting or technology services organizations
- Onsite-offshore / Global Delivery Center delivery models
What Success Looks Like
- Projects have clear plans, ownership, milestones, and technical dependencies.
- Risks and blockers are identified early rather than discovered at the point of failure.
- Engineering teams have the information, access, environments, and decisions required to execute.
- Technical issues are translated into clear schedule and business impact.
- Delivery commitments are actively managed rather than simply reported.
- Clients and leadership receive accurate and timely visibility into project health.
- Releases and go-lives are planned, controlled, and supported through stabilization.
- Project-management overhead is reduced through effective use of automation and AI.
- Technical teams view the TPM as someone who helps delivery move forward, not simply someone who asks for status updates.
Why Join Solutionara?
- Manage meaningful enterprise technology and transformation initiatives.
- Work directly with experienced architects, engineering leaders, and global clients.
- Build exposure across Cloud, Integration, Data, DevOps, AI, and Digital Transformation.
- Develop toward broader Senior Project Manager, Program Manager, or Technology Delivery leadership responsibilities.
- Have real ownership of technology delivery rather than operating solely as a PMO coordinator.
- Help shape delivery practices as our Noida Global Delivery Center continues to scale.
- Work in an environment actively incorporating AI and automation into technology delivery.
Manage engineering projects from requirements gathering and planning through development, testing, release, and closure. Create project plans, timelines, milestones, dependencies, and delivery schedules. Coordinate with Engineering Managers, Tech Leads, Software Engineers, QA, Product Managers, and other stakeholders. Track project progress, identify delays and dependencies, and drive corrective actions. Facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and other project ceremonies where required. Maintain project trackers, RAID logs, action items, and status reports. Identify and proactively manage project risks, technical dependencies, resource constraints, and delivery issues. Communicate project status, risks, dependencies, and key decisions to leadership and stakeholders. Coordinate releases and ensure development, QA, deployment, and business teams are aligned. Manage scope changes and assess their impact on timelines, resources, and deliverables. Ensure engineering deliverables meet agreed requirements, timelines, and quality standards. Work with technical teams to understand project dependencies and translate them into actionable project plans. Help resolve cross-team blockers and facilitate effective communication between technical and business teams. Monitor resource allocation and work with engineering leadership to address capacity constraints. Drive continuous improvement in project delivery processes and engineering collaboration.
Education: B.E. Computer Science/IT degree (or any other engineering discipline)
Experience: 9+ years
Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM
Position Requirements:
- Program Strategy & Planning
- Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
- Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
- Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.
• Program Execution & Delivery
- Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
- Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
- Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.
• Technical Leadership & Influence
- Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
- Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
- Lead technical intake, prioritization and change control for program scope.
• AI Programs & Governance
- AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
- Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
- Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
- Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.
• Stakeholder Management & Communication
- Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
- Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
- Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.
• Risk, Budget & Vendor Management
- Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
- Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
- Own vendor/third-party integration and delivery where applicable.
• Process, Tools & Automation
- Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
- Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
- Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.
• Measure Impact
- Define and track program success metrics and business outcomes; iterate to maximize value delivery.
- Ensure learnings are captured and operationalized for future programs.
Role & Responsibilities:
- 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
- Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
- Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
- Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
- Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
- Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
- Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
- Strong analytical and problem-solving skills; data-driven mindset.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Fluent English.
• Preferred
- Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
- Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
- Experience managing program budgets and vendor/contract relationships.
- Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
- Prior experience mentoring PMs and leading PMO or program-level process change initiatives.
Role Overview
We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.
Key Responsibilities
- Own the product lifecycle from problem discovery → PRD → launch → iteration
- Write clear and structured PRDs, user stories, and acceptance criteria
- Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
- Define product roadmaps and prioritize based on impact and feasibility
- Analyze product performance, funnels, and user behavior using data
- Drive experimentation, A/B testing, and continuous optimization
- Translate business goals into scalable product solutions
Required Skills & Qualifications
- 3–7 years of Product Management experience (preferably in fintech/startup environments)
- Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
- Experience working in Agile environments with engineering teams
- Ability to think structurally and solve complex product problems
- Strong stakeholder management and communication skills
- Working understanding of APIs, integrations, and system workflows
- Comfort using AI tools to enhance productivity, documentation, research, and product discovery
- Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency
Technical Product Manager – BFSI & AI
Location: New Delhi, India (On-site)
Employment Type: Full-time
Experience: 4–8 years
Industry: BFSI / FinTech / Enterprise AI / B2B SaaS
About QubeLabs
QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.
Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience.
Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe.
Role Overview
We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities.
You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement.
This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams.
Key Responsibilities
1. Product Management & Requirements
Define product requirements, roadmaps and feature priorities for QubeLabs Workmate.
Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria.
Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions.
Prioritize features based on customer value, business impact, technical feasibility and strategic objectives.
Drive features from concept through development, testing, release and post-launch improvement.
2. BFSI Workflows & Customer Discovery
Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory.
Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities.
Translate financial-services processes into scalable product capabilities.
Support customer discovery, product demonstrations, pilots, POCs and validation of new features.
Incorporate customer feedback and market insights into product priorities and the roadmap.
3. AI Product Development
Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation.
Define requirements for AI assistants, intelligent agents and AI-powered business workflows.
Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications.
Define expected AI behaviour, business rules, exception handling and measurable business outcomes.
Identify where AI is appropriate versus deterministic workflows and conventional business logic.
Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases.
4. Product & Engineering Collaboration
Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges.
Understand APIs, integrations, data flows, system dependencies and enterprise technology environments.
Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant.
Validate delivered features against requirements and lead functional and user acceptance testing.
Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases.
Prototype or validate product concepts when required.
5. Product Strategy & Market Intelligence
Identify new product opportunities across financial services.
Evaluate customer needs, competitive products and emerging AI capabilities.
Develop industry-specific use cases and product propositions.
Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy.
Experience & Qualifications
4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software.
Mandatory experience in BFSI, FinTech or financial-services technology.
Experience with enterprise products and collaboration with engineering or technology teams.
Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory.
Experience in customer discovery, requirements gathering and product documentation.
Exposure to AI/Generative AI products is preferred but not mandatory.
Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred.
Required Skills
Product Management
Requirements gathering, PRDs and functional specifications.
User stories, acceptance criteria and workflow design.
Roadmapping, prioritization and product lifecycle management.
Customer discovery, stakeholder management and product validation.
BFSI Domain Knowledge
Understanding of financial-services workflows, business processes and enterprise requirements.
Ability to engage with business users and translate operational challenges into technology solutions.
Technical Understanding
Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI.
Understanding of APIs, system integrations, data flows and cloud-based enterprise applications.
Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs.
You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements.
What Success Looks Like
Clear, implementation-ready product requirements and specifications.
Timely delivery of prioritized product features and roadmap milestones.
Successful launch and adoption of high-value AI-powered BFSI workflows.
Effective support for enterprise pilots, POCs and customer validation.
Strong alignment between customer needs, product priorities, AI capabilities and engineering execution.
Measurable improvements in customer productivity, operational efficiency and product engagement.
Why Join QubeLabs?
Build next-generation Enterprise AI Systems for financial services.
Work directly with founders and senior leadership in a high-ownership role.
Shape AI-powered products across banking, wealth management, brokerage and insurance.
Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation.
Collaborate with teams developing QubeLabs' proprietary Vectro Series language models.
Contribute to enterprise markets across India and Europe.
Equal Opportunity
QubeLabs is an equal opportunity employer
committed to building a diverse and inclusive workplace where innovation thrives.
We are looking for a driven and analytical Product Manager to lead the planning, development, and continuous improvement of our digital products. The candidate will work closely with engineering, design, marketing, sales, and business teams to translate customer and business needs into successful product solutions.
Key Responsibilities
- Define and communicate the product vision, strategy, and roadmap.
- Gather and analyze customer, market, and business requirements.
- Translate requirements into clear product specifications, user stories, and acceptance criteria.
- Prioritize features and maintain the product backlog.
- Work closely with developers, designers, QA, and other stakeholders throughout the product development lifecycle.
- Conduct market and competitor research to identify opportunities.
- Coordinate product launches and feature releases.
- Track product performance using relevant KPIs and analytics.
- Collect and analyze customer feedback to improve the product.
- Identify usability issues and recommend product enhancements.
- Participate in Agile/Scrum activities, including sprint planning and reviews.
- Ensure product initiatives align with overall business objectives.
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.
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Full Stack Developer - Averlon