What do we promise: 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools. We even promise to let you bring your kids and pets to work. 

What will you be doing? 

• Analyze and interpret complex datasets to derive insights that improve product performance and advertiser outcomes 

• Support product decision-making by providing data-driven insights and recommendations. 

• Conduct exploratory data analysis (EDA) to identify new features and signals that improve the DS models 

• Develop and implement performance measurement frameworks for A/B testing, feature rollouts, and model evaluations 

• Partner with Product, Data science, Engineering & Business teams and ensure we drive actual business value 

• Drive adoption of tools and methodologies like PowerBI, log-based data analysis, and experimental statistics. 

What are we looking for? 
Skills and Attributes: 

• Exceptional ability to collaborate with stakeholder teams ( Product, DS, Engineering, Business) to prioritize and deliver innovative solutions across projects. 

• Excellent verbal and written communication skills, with the ability to present information and analysis results effectively to technical and less technical stakeholders 

• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. 

• Strong foundation in statistics and predictive modeling, including A/B testing. 

• 6+ years of overall work experience within a Tech/Analytics/Start ups 

• 5+ years of relevant experience as a product analyst, business analyst or statistical analyst role 

• Strong proficiency in SQL, Python, Advanced Excel, PowerBI 

About the Role

We are building next-generation ML-driven decision systems powering a global Demand Side Platform (DSP). These systems operate at massive scale and optimize real-time marketplace decisions across pricing, targeting, fraud prevention, and performance optimization.

We are looking for a Senior Product Manager who thrives at the intersection of business strategy, machine learning, and real-time systems. This role is ideal for someone who has owned ML-powered products in production environments.

What You Will Own

• Define business objectives and translate them into ML-driven decision systems with direct impact on revenue, margin, auction efficiency, etc.
• Own end-to-end lifecycle of ML initiatives: problem framing, signal validation, modeling alignment, experimentation, rollout, monitoring & iteration
• Partner closely with Data Scientists and Engineers to ship real-time ML systems at scale.
• Define success metrics, guardrails, and experimentation frameworks.
• Drive auction/pricing/optimization strategies balancing revenue, performance, and risk.
• Own business impact and continuously optimize deployed models.
• Manage cross-functional squads focused on measurable business outcomes.

What We’re Looking For

Experience

• 7+ years of Product Management experience
• 3+ years owning ML-powered or data-driven products in production.
• Experience in real-time or large-scale decision systems where model outputs directly impacted runtime decisions (e.g., marketplace optimization, pricing engines, ranking systems, fraud models, search/recommendation)
• Experience designing and interpreting A/B experiments.
• Experience working closely with Data Science and Engineering teams.

Strongly Preferred (But Not Mandatory)

• Experience in AdTech, MarTech, digital advertising, or marketplace platforms.
• Exposure to auction systems or dynamic pricing models.
• Experience building products in high-scale consumer or fintech platforms.
• Full-time MBA education

Technical & Analytical Expectations

You do not need to build models, but you must be comfortable with:

• Prediction targets vs automated decisions
• Offline vs online metrics (e.g. AUC, calibration, precision-recall)
• Guardrails and business trade-offs
• Loss functions (conceptual understanding)
• Model drift and retraining cycles
• Data pipelines and real-time latency constraints

Ability to:

• Write structured PRDs
• Analyze performance metrics
• Reason about trade-offs quantitatively

Experience with SQL or basic data analysis tools is preferred.

What Makes You a Strong Fit

• High ownership mindset: you own outcomes, not tasks.
• Strong marketplace intuition (supply-demand, incentives, trade-offs).
• Comfortable operating in high-ambiguity environments where signals are imperfect and trade-offs are multi-dimensional.
• Strong cross-functional influence.
• Bias for action and measurable outcomes.
• Comfortable navigating failure and iteration cycles.

Bonus Points

• Experience with GenAI/LLMs and rapid prototyping.
• Experience building ML experimentation frameworks.
• Experience mentoring junior PMs.

Why Join

You’ll work on:

• Core economic engines of a global DSP with direct revenue impact.
• High-scale ML systems powering millions of real-time decisions.
• Marketplace optimization problems with measurable business outcomes.
• Operate with autonomy in a transformational phase of a global DSP platform.

Overview of the role:

We are seeking a Director of Product Marketing to lead the commerce narrative, market positioning, and go-to-market strategy for the products being built within our DSP. This role sits at the intersection of product strategy, market truth, and category definition, translating complex commerce, data, and AI-driven capabilities into clear, credible, outcome-led positioning that resonates with customers and differentiates our platform in a rapidly evolving market.

This leader will serve as the single-threaded owner of the DSP commerce story, grounded in a strong outside-in, voice-of-the-customer perspective. The role defines what we build, for whom, why it matters, and how it should be understood in the market — operating upstream of traditional sales enablement and ensuring that product and go-to-market decisions are anchored in real customer behavior and market dynamics.

In addition to commerce use cases, this role will own product marketing for app user acquisition, re-engagement, and retargeting, positioning these capabilities as foundational inputs to commerce and lifecycle outcomes — not standalone performance features. This is a highly visible leadership role responsible for shaping how our DSP is understood by customers, partners, and the broader industry.

This role is based in either our San Mateo, CA or New York, NY office and requires regular in-office presence. Occasional travel may be required for client meetings, industry events, and strategic partner engagement.

The impact you’ll make:

 Outside-In Market & Customer Insight (Foundational)

• Act as the voice of the customer for DSP-led commerce and app growth products.
• Build a deep understanding of:
  • Buyer motivations, constraints, and decision criteria
  • How commerce, performance, and retail media network (RMN) budgets are actually allocated
  • What customers say they want versus what they actually buy
• Use customer insight to:
• • Define ideal customer profiles (ICPs) and buying personas
  • Prioritize the highest-impact use cases
  • Pressure-test internal assumptions
  • Serve as the internal arbiter of market reality when perspectives diverge

Commerce Strategy & Narrative (Primary Ownership)

• Define what “Commerce in the DSP” means — including outcomes, ICPs, use cases, and clear differentiation versus retail media networks, retail media platforms, and performance DSPs.
• Build and own the end-to-end commerce narrative, including:
  • Problem framing rooted in customer pain points
  • A clear value proposition tied to measurable business outcomes
  • A compelling articulation of why DSP-native commerce versus alternative solutions
• Ensure positioning reflects how customers actually talk, evaluate, and buy, rather than internal product architecture.

App User Acquisition, Re-engagement & Retargeting (Core Use-Case Pillar)

• Own the product marketing strategy and narrative for:
  • App user acquisition
  • User re-engagement
  • Retargeting and lifecycle marketing
• Position these capabilities as inputs into commerce and lifecycle outcomes — such as conversion, repeat purchase, and lifetime value (LTV) — rather than isolated performance tactics.
• Define ICPs, buying triggers, and success metrics for growth and performance marketers.
• Ensure consistent storytelling across full-funnel and lifecycle marketing motions, reinforcing a unified customer journey narrative.

Ecosystem Depth

• Lead product marketing strategy across the broader ecosystem, supporting DSP-led commerce and growth.
• Run product marketing initiatives for third-party DSP integrations and strategic platform partnerships.
• Own product marketing engagement with marquee measurement and attribution partners, ensuring alignment between product capabilities, performance insights, and customer value.

Product GTM & Launch Strategy

• Own PR/FAQ frameworks, positioning documentation, launch narratives, and go-to-market strategies for commerce and app growth products.
• Demonstrate the ability to execute both product-led growth (PLG) and sales-led growth (SLG) motions.
• Partner closely with Product to drive a working-backwards approach, including:
  • Validating ICP and buyer needs before build
  • Defining success metrics that customers genuinely care about
  • Influencing roadmap prioritization using market insight
• Drive event-led and moment-led launches with clear strategic intent, ensuring launches are timely, differentiated, and outcome-driven.

Cross-Functional & Team Leadership

• Act as the product marketing leader for the DSP commerce and app growth domain, working closely across Product, Marketing, Sales, and Business leadership.
• Build and mentor product marketers focused on outcome-driven, market-first product marketing practices.
• Serve as a strategic thought partner to senior leadership on:
  • Where commerce and app growth should be positioned within the DSP strategy
  • Where investments should be prioritized
  • Where capabilities do — and do not — create meaningful customer value

The experience we need:

• Proven experience in product marketing, platform marketing, or go-to-market strategy within the Adtech, Martech, commerce media, or retail media ecosystem
• Demonstrated ability to translate complex technical capabilities into clear, differentiated market positioning that drives adoption and revenue growth
• Strong understanding of commerce, performance marketing, and retail media network dynamics, including how budgets are allocated and how buying decisions are made
• Experience defining category narratives, value propositions, and product positioning in competitive and rapidly evolving markets
• Ability to operate with an outside-in, customer-first mindset, using market insight to shape product and go-to-market strategy
• Track record of partnering closely with Product teams to influence roadmap decisions and drive successful product launches
• Experience executing both PLG and SLG go-to-market motions in high-growth technology environments
• Strong leadership and stakeholder management skills, with the ability to influence cross-functional teams and senior executives
• Experience building and mentoring product marketing talent and establishing scalable product marketing practices
• Comfort operating in a fast-paced, ambiguous environment where priorities evolve, and strategic judgment is essential