Bangalore (Hybrid)
We're MiQ, a global programmatic media partner for marketers and agencies. As Director - Analytics Products and Solutions , you will be the technical leader who owns the end-to-end architecture, solutioning, and delivery of MiQ's local product portfolio. Product strategy, roadmap prioritisation, and go-to-market plans are owned by commercial product leadership; Your core accountability is for how products are built, tested, deployed, maintained, and evolved - spanning product architecture, scalability best practices, DevOps, QA and testing frameworks, adoption tracking, and Agile/Scrum delivery practices - ensuring world-class engineering practices and leveraging AI accelerators to ship high-quality solutions at speed. You will also maintain strong awareness of and hands-on familiarity with modern data and analytics tooling (Ex: Databricks, Spark, Gathr) to inform sound technology choices.
As You Help Shape The Strategy, Prioritisation, And Evolution Of MiQ's Local Products Capability - In Partnership With Commercial Product Leadership - Your Core Mandate Is Also To Ensure Local Products Builds The Right Capabilities - Not Just More Capabilities - By
Defining what Local Products should and should not build
Driving prioritised, scalable, high-impact product development by integrating AI accelerators into the process
Shifting Local Products from a reactive build function to a structured, product-led capability layer
This is a technical leadership and product governance role with deep technical depth, working in close partnership with commercial product leadership - who are accountable for product strategy, roadmap, and go-to-market plans.
Data Science organisation – partnering with the DS leadership to translate models and analytical capabilities into production-ready product features.
Local Product & Commercial teams – shaping products that drive measurable business outcomes for key markets.
Data & Analytics (DnA) – leveraging reusable data assets and analytical capabilities.
Define the role of Local Products within MiQ's ecosystem: As the agency solutions layer (planning, activation, signal generation)
Make deliberate build vs buy vs partner decisions - evaluating technology options, open-source components, and third-party integrations against in-house development for each product capability.
Partner with Product Management and commercial stakeholders to validate opportunities and translate market needs into technically sound, deliverable product plans.
Champion DevOps practices - CI/CD pipelines, infrastructure automation, environment management, and release orchestration - to enable fast, reliable, and safe deployments.
Own QA and testing frameworks across the portfolio - defining automated testing strategy, coverage standards, and quality gates that products must clear before release.
Bring strong Scrum ceremonies expertise and best practices - leading and coaching teams through sprint planning, stand-ups, backlog grooming, sprint reviews, and retrospectives to drive predictable, high-quality delivery.
Maintain strong awareness of and evaluate the latest data and analytics tooling - including Databricks, Spark, Gathr, and other emerging platforms - to inform build decisions and keep the technology stack current.
Ensure all work is evaluated against: commercial impact
Reduce: ad-hoc builds

Provide technical leadership across the full (SDLC): requirements analysis, system design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Establish and own the QA/QC framework for the portfolio: automated testing strategies (unit, integration, regression, performance), test coverage standards, and quality gates that products must clear before release.
Own the maintenance and upgrade strategy for shipped products - including SLA definitions, incident management,



technical debt tracking and upgrade pathways that keep products healthy and supportable over time.
Champion the integration of AI accelerators into the product development workflow - evaluating and embedding tools such as AI-powered code assistants (Ex: Copilot, Cursor), automated code review, AI-driven test generation, intelligent documentation, and GenAI-powered prototyping to boost developer productivity and reduce cycle time.
Partner with the Data Science organisation to productionise models and analytical capabilities - defining clear contracts, integration patterns, performance benchmarks, and monitoring for ML components within products.
Drive design thinking and user-centric development practices - ensuring local products are built with deep empathy for end-user workflows, not just technical elegance.
Shift team mindset from: 'delivering requests' to 'solving problems at scale'
Build a high-trust culture that emphasises ownership, quality craftsmanship, delivery excellence, learning, and autonomy.
Coach technical leaders on stakeholder management, storytelling, product thinking, and commercial awareness so they can independently drive workstreams and influence senior partners.
Upskill teams on modern development practices and AI-powered tooling - ensuring the organisation stays current with evolving best practices
Define and support learning and development plans, including opportunities to contribute to thought leadership (blogs, talks, open-source contributions, internal workshops).
Product Data Science
Markets & Commercial
~ Act as the primary technical product partner for local Product, Commercial, Markets, and Strategy leaders on your products.
Partner with key stakeholders - aligning on model requirements, productionisation timelines, performance targets, and integration roadmaps for ML-powered features.
Communicate complex technical concepts in simple, business-friendly language to senior, non-technical stakeholders - building confidence, driving adoption, and securing buy-in for investment decisions.
Cost, Risk & Operational Excellence
drive optimisation initiatives without compromising quality or innovation.
Champion effective, lightweight Agile practices across teams; partner with Program/Project Management to continuously improve ways of working and delivery predictability.
Proactively identify delivery, technical, and organisational risks and put in place mitigation plans
Contribute meaningfully to org-wide initiatives (Ex: hiring, calibration, promotion frameworks, diversity & inclusion, capability building) beyond your immediate remit.
Help define MiQ's long-term product development and AI strategy, including the adoption of AI accelerators, next-generation development practices, and emerging technology evaluation.
Champion a product-led mindset across the organisation - advocating for quality-first delivery, user-centricity, and continuous improvement as cultural norms.
Product Data Science organisation: as a key stakeholder and partner, collaborating on model productionisation, ML feature integration, and analytical capability roadmaps.
Data & Analytics leadership: to shape strategy, investment, and talent plans.
Product Management (global and local): to co-own roadmaps and outcomes for local products.
Design & UX: to ensure products are intuitive, usable, and aligned with end-user workflows.
Markets & Commercial teams (Sales, Trading, Account Management, Solutions, Client Partners): to validate opportunities, understand market needs, and drive client value at scale.
12+ years in product, platform,



or technical leadership roles in data-heavy environments (adtech/martech preferred)
~ Proven experience: defining product strategy and roadmaps

Experience working across: product

data science
commercial teams
~ speed vs quality
Strong understanding of: data platforms (Databricks, AWS)

Strong proficiency in Python (and ideally PySpark) for building data-intensive applications and automation.
Strong command of SQL and experience with large-scale data processing in big data ecosystems.
Good understanding of engineering best practices - system design, design patterns, API design, microservices architecture, and scalable application development.
Hands-on experience with CI/CD tooling, automated testing frameworks, and deployment orchestration (Ex:Jenkins, GitHub Actions, Docker, Kubernetes, Terraform).
Exposure to modern GenAI techniques and AI-powered development tools (Ex: Copilot, Cursor, RAG, LLM-based agents, automated code review) and a point of view on integrating them into the product development lifecycle.
Sufficient understanding of ML/statistical modelling concepts (regression, classification, clustering, experimentation) to effectively partner with and challenge the Data Science organisation on productionisation requirements.
Familiarity with MLOps practices: model deployment, monitoring, retraining, and lifecycle management in production.
Familiarity with product analytics tools and frameworks - understanding of funnel metrics, cohort analysis, A/B testing, and adoption/engagement measurement.
Strong product thinking and strategic vision - able to connect market needs, client realities, competitive dynamics, and operational constraints into clear product development strategies.
Deep customer empathy - a habit of spending time with commercial teams to understand the real problems behind the requested features.
Ability to drive cross-functional alignment - skilled at navigating matrixed organisations, building trust with engineering, design, commercial, and market leaders.
Passion for building diverse, inclusive teams, and for creating environments where people can do their best work.
We've highlighted the skills and experience that matter most. We've highlighted some key skills, experience and requirements for this role. Our talent team strives to find the best people. Everything you and your teams build will help MiQ create the next generation of data and AI-powered products, enabling our markets and clients to make smarter decisions, run better campaigns, and measure success more effectively.
Designs, builds, and scales local products tailored for different markets and client needs
Raises the bar on product quality and reliability - through robust SDLC practices, automated QA/QC, and mature deployment and maintenance strategies
Accelerates time-to-market - by integrating AI-powered development tools and modern practices into every product team's workflow
Embeds a culture of continuous improvement - where experimentation, iteration, and operational excellence are everyday norms.
At MIQ, our ambition has been to produce the best programmatic media results, underpinned by the sharpest data insights and delivered by the smartest people. Our Centre of Excellence in Bengaluru is where the valuable stuff happens, where our data experts use all of their know-how to turn your business challenges into business-changing solutions.
Every region and office have specific perks and benefits, but every person joining MiQ can expect:
A hybrid work environment
New hire orientation with job specific onboarding and training
Bonus and performance incentives
Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities.

📌 Product Manager - Full Time (Bengaluru)
🏢 MiQ
📍 Bengaluru