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HiroJet

<div>
 
 
 Role :
 
 Product Manager
 
 
 
 Location
 
 :- Bangalore, Karnataka (5 days work from office)
 
 
 
 
 
 🌟
 
 About the company
 
 
 
 We&rsquo;re a team focused on building intelligent, agentic AI systems that can operate autonomously and transform businesses. Our Platform &mdash; is our agentic AI designed to run marketing for eCommerce brands, end-to-end. We&rsquo;re a lean, hands-on team passionate about building products with craft.
 
 
 
 
 
 ✨
 
 Why This Role Is Unique
 
 
 
 ● Be a founding member working directly with founders who&rsquo;ve built and sold successful startups
 
 
 ● Help shape a new breed of agentic AI product &mdash; built from the ground up
 
 
 ● See your work make an immediate impact across hundreds of customers globally.
 
 
 ● Join early and unlock high economic upside through meaningful equity and long-term growth.
 
 
 
 
 
 🎯
 
 What You&rsquo;ll Do
 
 
 
 ● Product Detail - Translate the founders' product vision into detailed specs, with a keen focus on user experience
 
 
 ● Validation and critique - Help evaluate product ideas, push back with first-principles thinking, and validate with design partners.
 
 
 ● AI workflow and prompt design - Create and iterate n8n-style workflows and prompt chains that power core product experiences.
 
 
 ● Prompt &amp; Context Engineering - Work hands-on to write, test, and improve prompts and contexts for all LLM workflows
 
 
 ● Cross-functional collaboration - Work closely with the founders, engineering team, and design partners to bring clarity from complexity and drive end-to-end execution.
 
 
 ● Be a product advocate &mdash; help shape early user experiences, gather feedback, and help drive go-to-market initiatives
 
 
 
 
 
 ✅
 
 What We&rsquo;re Looking For
 
 
 
 ● 2&ndash;5 years in early-stage product teams/fast-paced startups in product roles
 
 
 ● Experience building AI-native products
 
 
 ● Ability to write structured, concise product specs
 
 
 ● Exposure to prompt engineering, no-code/low-code workflows (n8n, LangChain, etc.), or AI integrations
 
 
 ● Strong instincts for UX &mdash; can identify friction and solve for clarity
 
 
 ● High attention to detail with a bias toward action and speed
 
 
 ● Great communicator &mdash; works smoothly across eng, design, and leadership
 
 
 ● Bonus: E-commerce or marketing related domain experience
 
 
 
 
 
 
 Apply
 
 : abhay@hirojet.com
 
 
 
</div>

Product Manager

Responsive

<div>
 
 
 About Responsive
 
 
 
 Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Learn more at responsive.io.
 
 
 
 About the Role
 
 
 
 We are looking for a talented and experienced Product Manager to join our dynamic team. The Product Manager will play a pivotal role in shaping the future of our core &ldquo;Strategic Response Management (SRM)&rdquo; offering, with a particular emphasis on leveraging AI technology. This individual will be responsible for driving product strategy, defining product roadmap, and overseeing the successful execution of product initiatives. Candidates who are passionate about AI and eager to incorporate AI-driven solutions into B2B SaaS products are highly encouraged to apply.
 
 
 
 Essential Responsibilities
 
 
 
 
 Product Planning and Execution
 
 
 <ul>
 <li>
 Work closely with product leaders to build and implement product strategy and roadmap
 </li>
 <li>
 Develop and maintain prioritization frameworks to make data-driven decisions about feature development
 </li>
 <li>
 Maintain and groom product backlog ensuring alignment with strategic objectives
 </li>
 </ul>
 
 
 Product Development &amp; Execution
 
 
 <ul>
 <li>
 Lead end-to-end feature development from ideation through release, including breaking down complex features into technical requirements, epics, and user stories
 </li>
 <li>
 Create and manage release plans with clear scope and acceptance criteria, while coordinating cross-functionally with engineering, QA, and deployment teams
 </li>
 <li>
 Drive technical collaboration with engineering teams to ensure feasibility, define dependencies, and maintain high-quality execution standards
 </li>
 </ul>
 
 
 Customer Focus &amp; Innovation
 
 
 <ul>
 <li>
 Act as the voice of the customer by gathering insights from research, feedback, and data to drive product decisions
 </li>
 <li>
 Leverage AI to enhance product intelligence, automate decision-making, and drive innovation
 </li>
 <li>
 Foster a culture of innovation by identifying emerging technologies and continuously improving product offerings
 </li>
 </ul>
 
 
 Cross-functional Leadership
 
 
 <ul>
 <li>
 Partner with sales, marketing, and customer success to ensure effective product launches and adoption
 </li>
 <li>
 Drive internal alignment by effectively communicating roadmap, and feature benefits across the organization
 </li>
 <li>
 Create and maintain product documentation for internal stakeholders
 </li>
 </ul>
 
 
 Performance &amp; Outcome Management
 
 
 <ul>
 <li>
 Define and monitor product KPIs including user engagement metrics, feature adoption rates, and business impact measures to drive data-informed decisions
 </li>
 <li>
 Establish and maintain feedback loops through user analytics, customer insights, and post-release monitoring to continuously optimize product performance
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering or related field. MBA is a plus
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum 3 years of product management experience in software or technology products.
 </li>
 <li>
 Proven track record of managing the end-to-end product lifecycle for B2B SaaS products.
 </li>
 <li>
 Strong understanding of Agile development methodologies and best practices.
 </li>
 <li>
 Technical background or hands-on experience in software development is a plus.
 </li>
 <li>
 Experience with AI-driven products or technologies
 </li>
 <li>
 Experience in the domain of Request for Proposal, Security software like VRM(Vendor Risk Management) and GRC (Governance, Risk, and Compliance) will be a plus.
 </li>
 </ul>
 
 
 Knowledge, Ability &amp; Skills
 
 
 <ul>
 <li>
 Strategic thinking Product Manager with a passion for innovation, problem-solving, and delivering customer-centric solutions. Strong analytical skills with the ability to gather, interpret, and leverage data to drive product decisions.
 </li>
 <li>
 Proven expertise in leading cross-functional teams and collaborating across disciplines.
 </li>
 <li>
 Experience as a Product Owner (PO), driving the design, development, and timely launch of high-quality features with strong user adoption.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work effectively across multiple departments, senior stakeholders, and global teams (US, India).
 </li>
 </ul>
</div>

Product Manager AI

Ennoventure, Inc.

<div>
 
 Ennoventure is a venture-backed deep-tech company with revolutionary technology to detect counterfeit goods. Our vision is to create a trusted value chain for delivering authentic products and experiences. We offer a fast-paced and highly collaborative work environment with significant opportunities for professional growth.
 
 
 
 
 
 As a Product Manager, you will drive exponential business growth by shaping product strategy, delivering exceptional user experiences, and leading cross-functional collaboration. You will work closely with data science, engineering, design, and commercial teams to build scalable, cutting-edge products that deliver significant value to a global customer base.
 
 
 
 
 
 
 What will you do?
 
 
 
 
 Product Strategy &amp; Vision
 
 
 
 &bull; Contribute to product strategy aligned with organisation goals and AI capabilities.
 
 
 &bull; Translate AI advancements into differentiated product features with clear value for end-users.
 
 
 &bull; Work with senior leadership to articulate product vision, business value, and a scalable roadmap.
 
 
 
 
 
 
 Customer Discovery &amp; Market Analysis
 
 
 
 &bull; Conduct in-depth customer research to understand user pain points, workflows, and unmet needs.
 
 
 &bull; Analyze competitive landscape, market trends, and regulatory considerations in AI SaaS.
 
 
 
 
 
 
 AI &amp; Automation
 
 
 
 &bull; Work closely with machine learning engineers and data scientists to transform AI models into user-friendly applications.
 
 
 &bull; Drive automation across workflows to enhance scalability and reduce operational overhead.
 
 
 &bull; Ability to co-create with AI systems and leverage predictive analytics for decision-making.
 
 
 
 
 
 
 Outcome Ownership
 
 
 
 &bull; Own measurable business and user outcomes, not just outputs.
 
 
 &bull; Lead the product lifecycle from ideation to delivery and post-launch iterations.
 
 
 &bull; Ability to link roadmap initiatives to revenue impact and customer success metrics.
 
 
 
 
 
 
 Cross-functional Leadership
 
 
 
 &bull; Collaborate with engineering, design, and data science teams to build scalable, ethical, and user-centric AI products.
 
 
 &bull; Partner with GTM teams (Sales, Marketing, Customer Success) to ensure successful product launches and feedback loops.
 
 
 
 
 
 
 Execution Excellence
 
 
 
 &bull; Write detailed product specs, define OKRs, and drive sprint planning with agile teams.
 
 
 &bull; Ensure timely delivery without compromising on quality or customer impact.
 
 
 
 
 
 
 What do we look for at Ennoventure?
 
 
 
 &bull; 2&ndash;4 years of experience in Product Management, preferably in B2B SaaS, AI, or startup ecosystems.
 
 
 &bull; Exposure to AI/ML-powered or automation-driven applications or platforms.
 
 
 &bull; Data literacy&mdash;ability to interpret analytics, KPIs, and predictive insights.
 
 
 &bull; Understanding of APIs, microservices, and cloud-native architectures for SaaS scalability.
 
 
 &bull; Minimum 1 year of hands-on experience in Vibe coding is mandatory.
 
 
 &bull; Experience building or managing mobile or web apps with strong UX focus.
 
 
 &bull; Demonstrated ability to drive product vision, strategy, and roadmap in a fast-growing environment.
 
 
 &bull; Has owned and delivered successful product outcomes from opportunity identification to launch &bull; Strong product sense &ndash; highly analytical, with the ability to identify the right problems, think big and long term, and make data-informed decisions.
 
 
 &bull; Commitment to continuous learning in emerging technologies (AI, sustainability, data privacy).
 
 
 &bull; Well-rounded solutioning skills &ndash; human-centered, business-focused, and technology-driven.
 
 
 &bull; Familiarity with tools like JIRA, Figma, Product board Cursor Linear, or similar.
 
 
 &bull; Comfort with ambiguity and rapid experimentation in fast-changing markets.
 
 
 
 
 
 
 Nice to Have
 
 
 
 &bull; Familiarity with AI model lifecycle and data privacy frameworks.
 
 
 &bull; Prior experience scaling products in an early-stage startup.
 
</div>

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Role
 
 
 
 We&rsquo;re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.
 
 
 We&rsquo;re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization&mdash;someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.
 
 
 In this high-agency, startup-like role, you&rsquo;ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define &amp; Implement Product Knowledge Strategy &ndash; Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.
 </li>
 <li>
 Drive AI-Powered Taxonomy &amp; Ontology Development &ndash; Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.
 </li>
 <li>
 Improve Search &amp; Product Discovery &ndash; Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms.
 </li>
 <li>
 Develop &amp; Enforce Data Standards &ndash; Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.
 </li>
 <li>
 Enable LLMs for Product Knowledge &ndash; Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.
 </li>
 <li>
 Measure &amp; Iterate &ndash; Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization.
 </li>
 <li>
 Deeply Integrate with AI/ML Teams &ndash; Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Product Leadership in Data/AI &ndash; 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
 </li>
 <li>
 AI &amp; Data Fluency &ndash; Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
 </li>
 <li>
 Taxonomy &amp; Ontology Expertise &ndash; Strong understanding of product classification, metadata structuring, and entity resolution techniques.
 </li>
 <li>
 Search &amp; Discovery Focus &ndash; Experience optimizing product search, recommendations, and structured navigation.
 </li>
 <li>
 Technical Comfort &ndash; Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.
 </li>
 <li>
 High-Agency &amp; Execution-Driven &ndash; Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.
 </li>
 <li>
 Strong Analytical &amp; Communication Skills &ndash; Ability to translate data-driven insights into clear product strategies.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Shape the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.
 </li>
 <li>
 Work in a high-agency, startup-like culture where your decisions directly impact millions of users.
 </li>
 <li>
 Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.
 </li>
 <li>
 Drive innovations that enhance search, personalization, sellingg and product discovery.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Group PM - Product Knowledge

Uber

<div>
 
 About The Role
 
 
 
 Uber's mission is to be the platform of choice for flexible earning opportunities.
 
 
 At Uber, our mission is to be the platform of choice for flexible earning opportunities, and we're expanding that vision with Uber AI Solutions. This is a new, fast-growing team within Uber, operating like a startup, and driven by a passionate, entrepreneurial team. Our goal is to connect businesses with high-quality, cost-effective knowledge work services - such as data labeling, annotation, AI training, and translation - through a seamless marketplace. After initial success, we're now scaling globally and looking for an experienced Product Manager to help us build the next generation of tools and technologies that power this growth.
 
 
 As a Product Manager on the Uber AI Solutions team, you'll be responsible for driving the development and optimisation of the platform that supports e2e life cycle of experts (knowledge workers) .
 
 
 If you're excited about building products that impact millions of people around the world, are passionate about driving efficiency, and thrive in an entrepreneurial environment, we'd love to hear from you!
 
 
 
 What The Candidate Will Need / Bonus Points
 
 
 
 ---- What the Candidate Will Do ----
 
 
 <ul>
 <li>
 Own the product roadmap, definition, and execution for building advanced applications that powers experience of expert (knowledge workers) and clients
 </li>
 <li>
 Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them.
 </li>
 <li>
 Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber's business objectives globally, at scale.
 </li>
 <li>
 Be a thought leader in the knowledge work space - deeply understand how technology and operations work in tandem to create truly empathetic delightful experience for our clients and workers;
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Thinking from first principles: You don't assume things or take the status quo for granted. You base your solutions on data, product instinct, curiosity and a hypothesis + experimentation driven approach.
 </li>
 <li>
 Experience delivering highly successful and creative technology products/platform in marketplace space
 </li>
 <li>
 Technically Proficient: You have a visceral sense of how technology at large is evolving and how it impacts our customer's life. You have collaborated with engineers in developing the technical architecture of the products you have built.
 </li>
 <li>
 Thrive in an environment of fast feedback loops, constantly evolving customer preferences in a fast-moving industry with a mindset of rapid prototyping and iteration.
 </li>
 <li>
 Minimum 2 years PM experience, or relevant background in building scalable data platforms.
 </li>
 <li>
 Have a background in computer science or relevant discipline; MBA preferred, but not required for consideration
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Customer obsession: Be passionate about understanding your customers' pain points, and building experiences to delight them. You can proudly showcase several examples of this.
 </li>
 <li>
 Profound understanding of the product process: Segment users, define user goals, come up with creative solutions, strong prioritization and execution skills
 </li>
 <li>
 A love for formulating product vision leveraging user research and metrics, getting buy-ins from key stakeholders across the organization, and breaking down this vision into a tangible roadmap
 </li>
 <li>
 Have passion for both user experience and system design, as well as a strategic outlook in how our tools align with our business scenarios
 </li>
 <li>
 Persuasive communication and partnership skills- this will be an extremely cross-functional role, with stakeholder teams spanning multiple verticals globally
 </li>
 </ul>
</div>

Product Manager [Supply], Uber AI Solutions

Upivot

<div>
 
 
 Company Description
 
 
 
 Upivot is redefining career transformation by bridging the gap between learning and earning. Our AI-driven ecosystem empowers professionals through personalized mentorship, real-world project experience, pre-assessment testing, and seamless job placement. Currently focused on Product Management and Leadership domains, we're building AI-native products that don't just teach&mdash;they transform careers.
 
 
 
 
 
 
 Role Description
 
 
 
 You'll be our: Product Manager - Interview Prep Product
 
 
 You'll be based at: Bengaluru
 
 
 You'll be aligned with: Senior Product Manager - AI Products
 
 
 You'll be a member of: Product Management Team
 
 
 We're looking for an Associate PM who gets excited about building for Product Managers.
 
 
 You'll own the Interview Prep product&mdash;an AI-native platform that helps PMs crack their dream interviews through personalized practice, real-time feedback, and data-driven insights.
 
 
 
 
 
 This isn't just another EdTech product. You'll be working at the intersection of AI/ML, career development, and product education&mdash;building experiences that genuinely move the needle on someone's career trajectory.
 
 
 
 
 
 
 What You'll Do at Upivot
 
 
 
 
 
 <ol>
 <li>
 Map the complete PM interview journey&mdash;understanding pain points, current prep workflows, and success patterns across different interview types (behavioral, product design, metrics, strategy, technical)
 </li>
 <li>
 Translate user insights and business goals into clear problem statements and product specifications for engineering, design, and AI/ML teams
 </li>
 <li>
 Maintain lean PRDs, experiment docs, and success criteria for your product area
 </li>
 <li>
 Contribute to the product roadmap by balancing user impact, technical feasibility, and business outcomes
 </li>
 <li>
 Own end-to-end delivery of features related to interview prep&mdash;mock interviews, question banks, AI-powered feedback, personalized learning paths, and performance analytics
 </li>
 <li>
 Drive cross-functional teams (engineering, design, data science, content) to ship high-quality experiences with minimal oversight
 </li>
 <li>
 Break down ambiguous AI opportunities (e.g., "make feedback more actionable," "improve answer evaluation accuracy") into concrete experiments and product bets
 </li>
 <li>
 Manage backlogs, write detailed user stories, and ensure smooth sprint execution
 </li>
 <li>
 Partner with data science/ML teams to define model requirements, evaluation criteria, and feedback loops for AI features (answer evaluation, personalized recommendations, difficulty progression)
 </li>
 <li>
 Design guardrails and quality checks to ensure AI-generated feedback is accurate, helpful, and fair
 </li>
 <li>
 Run experiments to validate AI feature effectiveness and user satisfaction
 </li>
 <li>
 Define product instrumentation and success metrics for the Interview Prep product (completion rates, practice frequency, time-to-improvement, interview success rate)
 </li>
 <li>
 Build dashboards and analyze quantitative data (SQL) to uncover usage patterns and bottlenecks
 </li>
 <li>
 Run A/B tests on feature variations, content formats, and AI feedback styles to optimize outcomes
 </li>
 <li>
 Generate qualitative insights through user interviews, surveys, and session recordings
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 1-3 years of product management experience (or relevant experience in analytics, design, or tech roles with strong product thinking)
 </li>
 <li>
 User empathy: Genuine interest in understanding PM interview challenges and building experiences that actually help people succeed
 </li>
 <li>
 Data-driven mindset: Comfortable with SQL, analytics tools, and using data to drive decisions
 </li>
 <li>
 Structured problem-solving: Ability to break down complex, ambiguous problems into actionable plans
 </li>
 <li>
 Strong communication skills: Clear written and verbal communication to articulate ideas, specs, and rationale across teams
 </li>
 <li>
 Ownership mentality: Bias for action, accountability for outcomes, and ability to work independently
 </li>
 <li>
 Technology grounding: Understanding of how software products are built, basic familiarity with AI/ML concepts
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Haves
 
 
 <ul>
 <li>
 Experience in EdTech, career services, or assessment platforms
 </li>
 <li>
 Prior exposure to AI/ML product development or LLM-based products
 </li>
 <li>
 Background in product management education/training or coaching
 </li>
 <li>
 Familiarity with product analytics tools (Mixpanel, Amplitude, Google Analytics)
 </li>
 <li>
 Experience running user research and usability tests
 </li>
 <li>
 Understanding of interview frameworks (CIRCLES, STAR, etc.) and PM interview best practices
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ol>
 <li>
 Complete Remote Culture - Work from Home
 </li>
 <li>
 Part of the Core Founding Team Building AI Native Product.
 </li>
 </ol>
</div>

interface.ai

<div>
 
 
 Get To Know Us First!
 
 
 
 
 Who We Are
 
 
 
 At interface.ai, we&rsquo;re redefining the future of banking with AI. Our cutting-edge Generative AI-powered platform serves over 100 banks and credit unions, delivering hyper-personalized customer interactions across voice, chat, and employee-assisting solutions.
 
 
 
 
 
 Our mission
 
 :
 
 
 To make banking effortless, intelligent, and profitable&mdash;enhancing user experience while boosting revenue and efficiency for financial institutions.
 
 
 We&rsquo;re not just another AI company. Our proprietary AI, built 100% in-house, is designed for zero-shot learning, achieving 90%+ accuracy on Day 1. With a world-class team from Microsoft, ISB, and IIMs, and a 1,800% growth rate in the last year, we&rsquo;re shaping the future of AI in financial services.
 
 
 Join us to build something transformative.
 
 
 
 
 
 
 Careers -
 
 
 
 https://interface.ai/open-positions
 
 
 
 LinkedIn -
 
 https://www.linkedin.com/company/interface-ai/
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a
 
 Senior Engineering Manager &ndash; Product Engineering
 
 to lead the design, development, and delivery of customer-facing products that serve millions of users.
 
 
 This role is for a
 
 hands-on engineering leader
 
 who combines deep technical acumen, product intuition, and operational excellence &mdash; someone who thrives on solving complex engineering problems while delivering user experiences that feel magical.
 
 
 You&rsquo;ll lead multiple high-performing teams across geographies, driving the
 
 execution of product features, scalability initiatives, and AI-first innovations
 
 . You&rsquo;ll collaborate closely with
 
 Product, Design, Data Science, and Customer teams
 
 to translate business goals into technical roadmaps that deliver measurable outcomes.
 
 
 You will be the
 
 engineering bar-raiser
 
 &mdash; setting the tone for technical excellence, speed, and accountability across the organization.
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Own
 
 
 
 As a
 
 Senior Engineering Manager
 
 , you will own the complete delivery and quality of our product engineering initiatives:
 
 <ul>
 <li>
 Lead the
 
 technical direction, architecture, and quality bar
 
 for customer-facing product systems.
 </li>
 <li>
 Drive
 
 execution, velocity, and reliability
 
 across multiple teams to meet business goals.
 </li>
 <li>
 Instill a
 
 10x engineering culture
 
 focused on autonomy, impact, and craftsmanship.
 </li>
 <li>
 Partner with Product and Design to shape customer experiences with an
 
 AI-first mindset
 
 , leveraging LLMs, personalization, and automation.
 </li>
 <li>
 Ensure that engineering teams execute with
 
 extreme ownership
 
 , from idea to production to iteration.
 </li>
 <li>
 Manage and grow top-tier engineering talent, creating a culture of learning and excellence.
 </li>
 <li>
 Interface with
 
 customers and product managers across time zones
 
 to understand needs, gather feedback, and translate insights into technical priorities.
 </li>
 <li>
 Deliver with
 
 predictability and precision
 
 , driving programs that meet scope, schedule, and quality goals.
 </li>
 <li>
 Establish and scale
 
 engineering best practices
 
 in clean code, observability, performance, CI/CD, and quality automation.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Be Hands-On:
 
 Stay deeply involved in hands-on coding, technical decisions, designing systems, and driving optimizations. Lead by example with clarity and technical depth.
 </li>
 <li>
 
 Drive Engineering Quality:
 
 Implement mechanisms for continuous improvement in architecture, testing, and reliability. Be the champion for quality and excellence in everything shipped.
 </li>
 <li>
 
 AI-First Product Delivery:
 
 Partner with AI and Data teams to embed AI capabilities &mdash; recommendations, personalization, conversational features &mdash; across core products.
 </li>
 <li>
 
 Raise the Bar:
 
 Coach teams on scalable design patterns, coding practices, and problem-solving approaches that improve velocity and maintainability.
 </li>
 <li>
 
 Program Management:
 
 Own complex, multi-quarter initiatives &mdash; ensuring clear communication, predictable delivery, and risk mitigation.
 </li>
 <li>
 
 Stakeholder Alignment:
 
 Collaborate across Product, CX, Sales, and Customer Engineering to align priorities and manage dependencies effectively.
 </li>
 <li>
 
 Measure and Optimize:
 
 Define success metrics (latency, quality, user engagement) and drive accountability through data-driven insights.
 </li>
 <li>
 
 Mentor Future Leaders:
 
 Develop engineering managers, leads, and senior engineers into high-impact contributors.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Experience:
 
 10+ years in software engineering, with at least 4 years managing high-performing product or platform engineering teams.
 </li>
 <li>
 
 Hands-On Technical Expertise:
 
 Strong background in system design, scalable architectures, APIs, and modern frameworks. Ability to deep-dive into code, architecture, and data flows.
 </li>
 <li>
 
 Extreme Ownership:
 
 Proven track record of end-to-end accountability for product delivery, reliability, and quality.
 </li>
 <li>
 
 Technical Excellence:
 
 Demonstrated ability to
 
 raise the engineering bar
 
 , set coding standards, and lead through technical rigor and innovation.
 </li>
 <li>
 
 Product and Customer Orientation:
 
 Experience working closely with product teams and customers to align engineering efforts with business value.
 </li>
 <li>
 
 AI-First Mindset:
 
 Strong understanding or experience integrating
 
 AI/ML systems
 
 (recommendations, personalization, chatbots, predictive analytics) into products.
 </li>
 <li>
 
 B2C Scale Experience:
 
 Hands-on leadership in scaling large consumer-facing systems (web, mobile, or voice).
 </li>
 <li>
 
 Program Management Discipline:
 
 Exceptional organizational and execution skills; able to manage cross-team dependencies and large-scale releases.
 </li>
 <li>
 
 Communication:
 
 Outstanding written and verbal communication; can articulate complex technical topics to executives and customers.
 </li>
 <li>
 
 Culture Builder:
 
 Passion for developing teams that value autonomy, ownership, collaboration, and continuous learning.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience in
 
 FinTech, Conversational AI, or AI-driven personalization
 
 products.
 </li>
 <li>
 Track record of
 
 leading globally distributed teams
 
 across time zones.
 </li>
 <li>
 in
 
 high-growth, high-accountability environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 What Makes This Role Special
 
 
 <ul>
 <li>
 You&rsquo;ll be the
 
 engineering multiplier
 
 &mdash; leading teams that build delightful, AI-powered customer experiences.
 </li>
 <li>
 You&rsquo;ll define and enforce
 
 engineering excellence
 
 , ensuring our products are fast, reliable, and future-proof.
 </li>
 <li>
 You&rsquo;ll have a seat at the table shaping
 
 product strategy, technical direction, and customer success.
 
 </li>
 <li>
 You&rsquo;ll operate in a
 
 global, fast-paced environment
 
 , collaborating across functions and time zones.
 </li>
 <li>
 You&rsquo;ll inspire a new generation of engineers to
 
 think AI-first, build fast, and deliver with purpose.
 
 </li>
 </ul>
 
 
</div>

Senior Manager/Associate Director - Engineering

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