New opportunity

Product Manager AI

TELUS Digital · Bengaluru, India

About this role

TELUS Digital seeks a Product Manager AI for an on-site, full-time role in Bengaluru, India. The role focuses on setting product direction and delivering products in a fast-moving AI landscape.

Responsibilities

  • Define and communicate a product vision, strategy, and roadmap aligned with business objectives. Collaborate with engineering, design, marketing, and sales teams to deliver products.
  • Conduct market research, competitor analysis, and customer interviews to identify growth and innovation opportunities. Prioritize initiatives against customer needs, market trends, and available resources.
  • Write product requirements and user stories for development teams. Track performance through metrics such as adoption and NPS, and iterate based on feedback and insights.
  • Mentor team members, align stakeholders, and manage trade-offs between near-term delivery and long-term technical excellence.

Requirements

  • At least 2–4 years in product-management-related roles or founder-level experience building highly technical or developer-facing SaaS products, plus experience in a high-growth, fast-paced environment.
  • Strong strategic thinking, execution, communication, stakeholder management, analytical and problem-solving skills. Ability to use qualitative and quantitative reasoning to influence decisions, collaborate across functions, and demonstrate successful product launches.
  • A Computer Science, Math, or Engineering degree from a premier institute.

Preferred

Experience building Enterprise B2B products or games.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Product managementProduct strategyProduct roadmappingMarket researchCompetitor analysisCustomer interviewsProduct requirementsUser storiesStakeholder managementCross-functional collaborationProduct analyticsNPSSaaSEnterprise B2B products

Your skill match

Checking your profile…

YOUR NEXT STEP

Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Set product direction

    The role defines and communicates a vision, strategy, and roadmap aligned with business objectives. Prepare a concrete example of how you turned an objective into a roadmap and explained the choices behind it.

  • Find and prioritize opportunities

    The posting calls for market research, competitor analysis, and customer interviews, followed by prioritization against customer needs, trends, and resources. Prepare to show how evidence changed a priority decision.

  • Turn decisions into shipped products

    The manager writes requirements and user stories and works with engineering, design, marketing, and sales. Successful launches and cross-functional influence are also cited. Prepare a launch example that connects decisions, team alignment, and delivery.

  • Measure and improve outcomes

    The role tracks adoption and NPS and iterates using feedback and insights. Prepare to explain what a product metric revealed, what qualitative evidence added, and what you changed as a result.

  • Guide people and stakeholders

    The posting includes mentoring team members and maintaining stakeholder alignment. Prepare an example of helping others move forward when perspectives differed, without overstating formal management responsibility.

Likely challenges to think through

  • Keeping an AI roadmap useful

    Likely preparation challenge, not a confirmed employer problem: a fast-moving AI landscape can make roadmap commitments compete with emerging opportunities. Prepare an example of revising priorities while preserving a clear business objective.

  • Balancing delivery and technical excellence

    Likely preparation challenge: the posting explicitly calls for managing short-term versus long-term trade-offs. Prepare to explain a decision where delivery timing, available resources, and technical consequences pulled in different directions.

  • Reconciling competing product evidence

    Likely preparation challenge: customer interviews, market trends, stakeholder views, adoption, and NPS may point to different priorities. Prepare a case showing how you weighed qualitative and quantitative evidence and communicated the resulting choice.

03

Practice your answers

Technical practice

How would you turn business objectives into a product vision and roadmap?

What to coverThe posting calls for a vision, strategy, and roadmap aligned with business objectives. Suggested preparation: explain how you would define the customer problem, choose outcomes, sequence initiatives, and communicate why the roadmap may change.

How would you use market and competitor research to identify an opportunity?

What to coverThe role includes market research and competitor analysis to find growth and innovation opportunities. Suggested preparation: describe how you would distinguish a meaningful customer need from a competitor feature and test whether the opportunity merits investment.

How would you conduct customer interviews for a technical product?

What to coverCustomer interviews are an explicit responsibility, and the posting seeks experience with highly technical or developer-facing SaaS products. Suggested preparation: cover how you would ask about existing workflows, validate what you heard across customers, and translate findings into product decisions.

How would you prioritize competing product initiatives?

What to coverThe posting specifies balancing customer needs, market trends, and available resources. Suggested preparation: walk through a prioritization approach that makes assumptions and trade-offs visible, including what evidence would cause you to change course.

What makes a product requirement or user story ready for development?

What to coverWriting clear requirements and user stories while aligning with development teams is part of the role. Suggested preparation: discuss the user problem, intended outcome, scope, and how you would resolve ambiguity with engineering and design.

How would you investigate weak adoption or a falling NPS?

What to coverThe posting names adoption and NPS as product-performance metrics. Suggested preparation: explain how you would check measurement and user segments, combine quantitative patterns with feedback, and decide which problem to investigate first.

How would you decide whether product feedback warrants an iteration?

What to coverThe role calls for iterating based on insights and feedback and using qualitative and quantitative reasoning. Suggested preparation: distinguish isolated requests from recurring problems, state the outcome you expect a change to improve, and describe how you would evaluate it.

How would you adapt product strategy as the AI landscape changes?

What to coverThe posting describes AI as a fast-moving landscape but does not specify an assigned AI product. Suggested preparation: explain how you would reassess customer value, market evidence, and delivery constraints without changing direction solely because a technology is new.

How would you balance a near-term release against technical excellence?

What to coverManaging short- and long-term trade-offs while delivering on time is an explicit responsibility. Suggested preparation: discuss how you would clarify the cost of delay, the engineering risks of a shortcut, and a decision the team can revisit.

Behavioural practice

Tell me about a product launch that required cross-functional coordination.

What to coverThe posting seeks a track record of launches and collaboration with engineering, design, marketing, and sales. Suggested preparation: use a real situation, your specific coordination actions, and the launch result, including what you learned.

Describe a time you influenced a stakeholder without relying on authority.

What to coverStakeholder influence and qualitative and quantitative reasoning are emphasized in the posting. Suggested preparation: give the situation, the evidence and communication you used, and the resulting decision or unresolved disagreement.

Tell me about a time customer evidence changed your product direction.

What to coverThe role combines customer interviews, performance insights, and product iteration. Suggested preparation: describe the original assumption, what you learned, the action you took, and the observed result.

Describe how you mentored a team member while keeping stakeholders aligned.

What to coverMentoring and guiding team members while maintaining stakeholder alignment is a stated responsibility. Suggested preparation: give a specific situation, how you supported the person and communicated expectations, and what changed afterward.

Tell me about a decision you made in a fast-moving environment with incomplete information.

What to coverThe posting calls for execution and problem-solving in a fast-paced environment. Suggested preparation: explain the situation, how you bounded the uncertainty and chose an action, and the result or adjustment that followed.

02

Sharpen your knowledge

Topics to prepare

  • Product vision and strategy

    Revise how a product vision connects business objectives, customer needs and a roadmap. Exercise: write a one-paragraph vision for a hypothetical AI product and explain two strategic choices behind it. The role explicitly calls for defining and communicating vision and strategy.

  • Opportunity assessment

    Review how customer interviews, market research and competitor analysis inform product decisions. Exercise: list the evidence you would seek before pursuing one hypothetical opportunity. These discovery methods are stated responsibilities.

  • Prioritization and trade-offs

    Revise how to weigh customer needs, market trends, resources, delivery timing and technical excellence. Exercise: rank three hypothetical initiatives and explain what you would defer. The posting explicitly calls for these trade-offs.

  • Product performance

    Review what adoption and NPS can reveal, where each falls short, and how feedback can inform iteration. Exercise: explain two plausible interpretations of rising adoption alongside falling NPS. Both metrics are named in the posting.

  • Technical SaaS product context

    Revise product considerations for highly technical or developer-facing SaaS, such as understanding users' workflows and communicating requirements to engineering. Exercise: outline the questions you would ask to understand a hypothetical developer workflow. The posting specifies experience building such products; specific AI technologies are not prescribed.

Skills to revise

  • Write development-ready requirements

    Draft a brief product requirement and two user stories for a hypothetical AI-product feature, including the user need and acceptance criteria. Writing clear requirements and user stories aligned with development teams is an explicit responsibility.

  • Run a customer-discovery exercise

    Prepare five non-leading interview questions, then summarize how hypothetical responses would change a product decision. Customer interviews are explicitly part of the role.

  • Build and defend a roadmap

    Create a short roadmap from three hypothetical initiatives; state the objective, resource constraint and rationale for their order. The role requires roadmapping and prioritization against available resources.

  • Interpret product signals

    Given a small hypothetical set of adoption figures, NPS responses and customer comments, identify one follow-up question and one possible iteration. The posting calls for tracking performance and acting on quantitative and qualitative insights.

  • Communicate a delivery decision

    Practice a two-minute explanation to engineering, design, marketing and sales of a proposed scope change, including the trade-off and how you would seek alignment. Cross-functional collaboration, stakeholder influence and balancing delivery with technical excellence are explicit expectations.

04

Your preparation checklist

  • Build a role-evidence sheet

    List relevant product-management or founder experience, technical or developer-facing SaaS work, fast-paced environments, launches, and the stated degree requirement. Add Enterprise B2B or games experience only if applicable; mark gaps rather than inventing evidence.

  • Prepare a product-launch walkthrough

    Choose one real launch and outline the customer problem, your decisions, cross-functional contributions, outcome, and what you would change. The role asks for successful launches and collaboration across engineering, design, marketing, and sales.

  • Bring a research-to-prioritization example

    Show how customer interviews, market research, or competitor analysis informed a product decision. Identify the evidence used and the trade-off between customer needs, market trends, and resources.

  • Practice an AI product-roadmap exercise

    As interview practice, draft a one-page vision and phased roadmap for a hypothetical technical AI product. State business objectives, assumptions, priorities, and a short-term delivery versus technical-excellence trade-off; do not present the exercise as TELUS Digital’s roadmap.

  • Draft sample product requirements

    For the hypothetical product, write a brief problem statement and a few user stories that an engineering team could discuss. Label these as practice artifacts, not requirements for an existing TELUS Digital product.

  • Prepare a metrics-and-iteration example

    Use a real product example, if available, to explain how you tracked adoption, NPS, or other relevant measures and acted on feedback. Separate observed results from proposed measures.

  • Rehearse a stakeholder decision story

    Prepare a concise account of how you used qualitative and quantitative reasoning to align stakeholders or resolve a difficult priority decision. Include any mentoring contribution only if you have a concrete example.

  • Write questions for the hiring team

    Ask which AI product or customer segment this role supports, how roadmap decisions are made, what adoption and NPS mean in that context, and where the team currently faces delivery-versus-technical-quality trade-offs.

AI-generated from the job information · Prepared Sep 29, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in India. Matched to this role, not your profile.

Explore more jobs
Finding similar opportunities…