New opportunity

AI Product Manager (Remote)

Retensa · New York City, United States

About this role

Retensa seeks an AI Product Manager to own the full product lifecycle of its SaaS platforms, including an AI application in the talent-management domain. The role connects client needs, business goals and technical execution to deliver products that provide value, scale effectively and remain competitive.

Responsibilities

  • Contribute to product vision, roadmap and priorities aligned with company goals. Translate requirements into functional specifications, user stories and sprint plans.
  • Work with engineering, design, marketing and client success to deliver features. Gather feedback through Client Support, analyze product usage and use those insights to set priorities.
  • Monitor industry trends and product success metrics, including adoption, satisfaction and business impact.

Required qualifications

  • At least 5 years of experience in, on or managing SaaS web application development, plus direct experience bringing AI innovation to on-demand SaaS software.
  • Ability to source and prioritize needs from internal teams and external clients, manage competing demands, and balance strategy with hands-on execution. Familiarity with the full Agile software development lifecycle, including requirements gathering, roadmapping, development team management, user testing and proactive client communication, is expected.
  • BA/BS in Information Systems, IT, Computer Science, MIS or a similar field. Interest in helping companies engage, inspire and retain employees.

Preferred qualifications

Formal Agile training; PMI or similar certification; AWS certification; programming, UI/UX or QA experience; Jira or similar task-tracking experience; and experience managing remote and part-time employees.

Working arrangements and compensation: Full-time, Monday–Friday. Retensa is headquartered in New York City; remote work is permitted within EST ±2 hours, with travel approximately three times per year. Compensation is $90K–$120k. Benefits described include flexible work arrangements, flexible PTO and company holidays, learning reimbursements, equity, social events, a birthday holiday and company-sponsored lunches.

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

Skills for this role

AI product managementSaaS product managementSaaS web application developmentProduct strategyProduct roadmappingRequirements gatheringRequirements prioritizationFunctional specificationsUser storiesSprint planningAgile software developmentSoftware development lifecycleCross-functional collaborationClient communicationUser testingProduct usage analysisProduct success metricsPredictive AIUI/UXJira

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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 a defensible product roadmap

    The role contributes to product vision and priorities aligned with company goals while sourcing needs from internal teams and clients. Product-usage data and Client Support feedback are stated inputs to those decisions.

  • Bring AI innovation into SaaS products

    Retensa seeks direct experience bringing AI innovation to on-demand SaaS software. The posting also emphasizes AI-driven development and using AI to accelerate the Agile development lifecycle.

  • Own delivery from requirements through testing

    The product manager owns the full lifecycle and translates requirements into functional specifications, user stories and sprint plans. The posting also calls out development-team management, user testing and proactive client communication.

  • Coordinate delivery across functions

    Engineering, design, marketing and client success are named partners for delivering features. The role bridges client needs, business goals and technical execution.

  • Measure value and maintain competitiveness

    The role tracks adoption, satisfaction and business impact, and monitors industry shifts. Retensa also emphasizes products that scale effectively and remain competitive.

Likely challenges to think through

  • Choosing between competing requests and near-term delivery

    Likely challenge, not a confirmed employer problem: internal and client demands may conflict with roadmap goals or an imminent release. Prepare a prioritization example that makes the trade-offs explicit and shows how a decision becomes a feasible sprint plan.

  • Balancing AI innovation with dependable SaaS delivery

    Likely challenge, not a confirmed employer problem: an AI feature may promise value while complicating user testing, security or scaling—areas the posting highlights. Prepare to explain how to validate value and assess delivery risks before expanding a feature.

  • Turning feedback into evidence of product impact

    Likely challenge, not a confirmed employer problem: support requests and usage signals may point in different directions, while adoption alone may not establish satisfaction or business impact. Prepare an example of how to reconcile qualitative feedback with product metrics and revisit a priority after release.

03

Practice your answers

Technical practice

How would you set roadmap priorities for Retensa’s AI SaaS application?

What to coverThe posting calls for a roadmap aligned with company goals, client needs and technical execution. Suggestion: explain how you would compare expected value, evidence of demand and delivery constraints, then revisit priorities as you learn.

How would you turn a client need into a functional specification, user stories and a sprint plan?

What to coverThe role explicitly includes each of these steps. Suggestion: walk through clarifying the need, defining observable outcomes and acceptance criteria, and working with engineering and design to plan a feasible increment.

How would you evaluate a proposed predictive-AI feature for talent management?

What to coverThe posting identifies predictive AI, talent management and direct AI innovation in SaaS as relevant to the role. Suggestion: discuss the user decision the feature would support, how you would test whether it adds value, and trade-offs involving reliability, security and usability.

Where could AI accelerate product development without weakening quality?

What to coverThe posting asks for familiarity with the full Agile development lifecycle and says to use AI to accelerate it. Suggestion: identify a concrete lifecycle task, explain what you would verify with the team, and distinguish faster output from a validated result.

How would you reconcile Client Support feedback with product-usage evidence?

What to coverThe role involves gathering feedback through Client Support, analyzing usage and using both to inform priorities. Suggestion: explain how you would check whether a reported problem is widespread or severe before deciding what to address.

How would you plan user testing before releasing a SaaS feature?

What to coverUser testing is named as part of the expected software-development lifecycle. Suggestion: describe the task and users you would test, what evidence would change the design, and how you would decide whether the feature is ready.

What trade-offs would you raise when a SaaS feature must scale while protecting security?

What to coverThe posting highlights security and scaling to millions of users as aspects of SaaS-platform work. Suggestion: explain how you would surface risks and performance expectations with engineering, and how those findings might affect scope or timing.

How would you assess whether a released feature is successful?

What to coverThe role tracks adoption, satisfaction and business impact. Suggestion: define a measure for each, explain what comparison would make it meaningful, and describe how disappointing results would inform the next priority.

How would you account for global users in product design and client implementation?

What to coverRetensa says its technology is used in 59 countries and 22 languages; the posting also mentions UI/UX and client implementation. Suggestion: discuss how you would identify differences in user needs, test the experience and avoid treating one client’s request as universal.

How would you decide whether an industry trend merits a place on the roadmap?

What to coverThe role includes monitoring trends to support competitive advantage. Suggestion: explain how you would connect a trend to a client problem and company goal, then compare a limited test with other roadmap commitments.

Behavioural practice

Tell me about a time internal and external stakeholders wanted conflicting priorities.

What to coverThe posting calls for sourcing needs from both groups and managing competing demands. Use a real situation, the action you took to establish priorities and communicate a decision, and the resulting outcome.

Describe a time you coordinated engineering, design and customer-facing teams to deliver a feature.

What to coverThe role partners with engineering, design, marketing and client success. Use a real situation, your specific coordination and trade-off decisions, and the result for delivery or users.

Give an example of changing a plan after client feedback or user testing.

What to coverThe posting emphasizes client feedback and user testing. Describe the original plan, the evidence you received, the action you took and what happened as a result.

Tell me about a time you balanced a longer-term product goal with an urgent delivery commitment.

What to coverThe posting emphasizes strategic thinking alongside hands-on execution in a fast-paced environment. Explain the situation and constraints, what you chose to do, and the outcome for both the immediate delivery and longer-term goal.

Describe a time you led work with remote or part-time colleagues.

What to coverManaging remote and part-time employees appears as a nice-to-have, not a requirement. If you have a relevant real example, explain the coordination challenge, your actions and the result; otherwise, treat this as optional practice.

02

Sharpen your knowledge

Topics to prepare

  • AI innovation in SaaS

    The posting requires direct experience bringing AI innovation to on-demand SaaS software and mentions predictive AI. Revision exercise: explain how you would evaluate an illustrative AI feature for client value, product fit and measurable outcomes; the example is preparation, not a specified Retensa project.

  • SaaS lifecycle, security and scale

    The role owns the full product lifecycle, and the posting highlights security and scaling to millions of users. Revision exercise: map a SaaS feature from discovery through release and iteration, identifying where security and scale affect product decisions.

  • Agile development lifecycle

    The posting explicitly names requirements gathering, roadmapping, development team management, user testing and client communication. Revision exercise: trace one hypothetical requirement through those stages and note the decisions a product manager makes at each.

  • Product strategy and competing priorities

    The role connects client needs, business goals and technical execution while balancing competing demands. Revision exercise: compare three hypothetical requests using value, effort and alignment with company goals, then justify their roadmap order.

  • Talent-management outcomes and product metrics

    Retensa focuses on employee engagement, inspiration and retention; the role tracks adoption, satisfaction and business impact. Revision exercise: define what each metric would indicate for an illustrative talent-management feature, without assuming Retensa uses a particular measurement method.

Skills to revise

  • Translate needs into delivery artifacts

    The role calls for functional specifications, user stories and sprint plans. Practice turning a hypothetical client need into a brief specification, two testable user stories and a proposed sprint sequence.

  • Prioritize internal and client requests

    Sourcing and prioritizing needs from internal teams and external clients is an explicit qualification. Practice consolidating conflicting sample requests into a ranked list, recording trade-offs and a clear rationale.

  • Turn support feedback and usage into decisions

    The role gathers feedback through Client Support and analyzes product usage to inform priorities. Practice reviewing a small fictional set of support comments and usage figures, then propose one priority and state what remains uncertain.

  • Coordinate cross-functional delivery

    The posting names engineering, design, marketing and client success as partners. Practice drafting a short feature handoff that states each team's input, open decisions and the message to communicate to clients.

  • Plan user testing and assess results

    User testing is explicitly part of the expected Agile lifecycle. Practice writing a test objective and tasks for a hypothetical SaaS feature, then decide how contrasting user feedback would affect the next iteration.

04

Your preparation checklist

  • Build a requirements evidence sheet

    Map concrete examples to the posting’s 5+ years of SaaS web application development, direct AI innovation in on-demand SaaS, requirements prioritization, and relevant BA/BS. List Agile training, certifications, Jira, and remote-team experience separately as preferred qualifications, only where applicable.

  • Prepare an AI SaaS project walkthrough

    Select a real project, if available, and outline the client need, your decisions, technical collaboration, launch, and measured results. Be ready to discuss any relevant UI/UX, implementation, security, scaling, and user-testing work without implying you owned work you did not do.

  • Practice a roadmap prioritization exercise

    Create a hypothetical one-page roadmap for a talent-management SaaS product. Show how you would weigh external client requests, internal needs, Client Support feedback, usage data, and company goals when demands compete.

  • Draft a sample feature specification

    For a clearly hypothetical AI feature, prepare a short functional specification with user stories, acceptance criteria, user-testing plans, and security and scale considerations. Show how it could move into a sprint plan.

  • Rehearse a cross-functional delivery account

    Prepare a concise example of coordinating engineering, design, marketing, and client-facing teams through an Agile release, including trade-offs and proactive client communication. The posting also lists remote and part-time team management as a preferred qualification.

  • Define a product measurement plan

    Write down how you would assess adoption, satisfaction, and business impact after launch, and how product usage and client feedback would change priorities. Distinguish actual results from measures you would propose.

  • Prepare questions for Retensa

    Ask how its AI SaaS application fits the broader product roadmap, how Client Support feedback reaches product decisions, what success metrics matter most, and which security, scale, or multilingual needs shape near-term priorities.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: Nov 4, 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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