11+ Product intelligence Jobs in India

Review Criteria

• Strong Product Manager Profiles
• 7+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
• Must have built or scaled products involving Data Science, Machine Learning, or AI
• Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
• Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
• Must have a strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
• Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
• Top/Well known Product companies (preferably in HealthTech)
• CTC includes 20% variable
• HealthTech exposure is a must (current or past experience)
• Its an IC role

Preferred

• Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization

Job Specific Criteria

• CV Attachment is mandatory
• What is your preferred location — Noida or Mumbai?
• If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
• Are you available for an in-person interview for one of the rounds?
• Which HealthTech company(ies) you have worked for?

Role & Responsibilities

We are seeking a visionary and technically savvy Principal Product Manager to lead the strategy, development, and growth of our Identity Resolution products, including the HCP Graph, probabilistic and deterministic identity solutions, and data partner integrations. This role sits at the intersection of data, product, and healthcare advertising, giving you the opportunity to shape how company identifies, unifies, and activates HCP audiences across the ecosystem. You will define the future of identity in healthcare marketing and play a pivotal role in building products that maximize both privacy compliance and advertiser ROI.

Key Responsibilities-

Product Strategy & Vision:

• Define and evangelize the vision for company's identity resolution products and HCP data graph.
• Build a product roadmap that balances technical innovation, market differentiation, and business impact.
• Conduct competitive research and explore emerging identity technologies to ensure company remains at the cutting edge of HCP data solutions.

Product Development & Execution:

• Lead end-to-end product lifecycle: ideation, requirement definition, development, launch, and iteration.
• Collaborate with engineering and data science teams to design scalable identity solutions leveraging first-party, third-party, and probabilistic signals.
• Author high-quality PRDs, user stories, and acceptance criteria, ensuring clarity for cross-functional teams.
• Drive integration strategy with data partners, DSPs, and other activation channels to expand company's reach and addressability.

Data & Privacy Expertise:

• Develop solutions that unify HCP identities across platforms while maintaining strict compliance with privacy regulations like HIPAA, GDPR, CCPA, and industry-specific rules.
• Ensure high identity match rates, data quality, and robust governance frameworks.
• Explore advanced techniques such as probabilistic linking, email-based resolution, and graph modeling to continuously improve audience unification.

User Experience & Enablement:

• Collaborate with UX designers to simplify complex workflows for internal teams and clients managing HCP audiences.
• Provide clear product documentation, training, and enablement materials to maximize adoption.

Performance & Optimization:

• Define metrics for success (match rate, segment addressability, HCP coverage, platform adoption) and continuously optimize solutions.
• Use data-driven insights to iterate on products, identify gaps, and enhance identity resolution accuracy and reliability.

Ideal Candidate

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.

Experience:

• 7+ years in product management, with significant experience owning data-centric products, preferably identity resolution, CDPs, DMPs, or large-scale data systems in AdTech/MarTech.
• Proven track record in data integration, audience unification, or identity resolution products.

Skills & Expertise:

• Strong knowledge of identity systems: deterministic and probabilistic matching, identity graphs, email-based resolution, hashed identifiers, device IDs, and consent management.
• Deep understanding of healthcare and HCP data ecosystems is a plus.
• Ability to translate complex technical solutions into clear product strategy and business impact.
• Exceptional stakeholder management, communication, and leadership skills.
• Strong analytical mindset with experience in SQL, data modeling, or analytics.
• Comfort operating in a fast-paced, high-growth environment and leading cross-functional initiatives.

Nice-to-Haves:

• Hands-on experience with machine learning for audience modeling or lookalike targeting.
• Familiarity with privacy-enhancing technologies, clean rooms, and data encryption.
• Experience building and scaling HCP identity graphs or multi-source data unification platforms.

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Job Title: Head of Marketing

Location: Bengaluru

Experience: 8–12 Years

Industry: Food Delivery / Quick Commerce / Consumer Internet / D2C

Employment Type: Full-Time

About the Role

We are looking for an experienced and entrepreneurial Head of Marketing to build and scale a consumer-facing brand from the ground up. The ideal candidate will have a strong background in brand marketing, consumer psychology, storytelling, and growth marketing, with experience in high-growth startups or consumer-tech companies.

This role offers the opportunity to define the brand strategy, drive customer acquisition, and build a high-impact marketing function from scratch.

Key Responsibilities

• Develop and execute the overall marketing and brand strategy.
• Define brand positioning, messaging, tone of voice, and customer value proposition.
• Lead brand-building initiatives across digital, social media, PR, partnerships, and content channels.
• Design and execute integrated marketing campaigns to drive awareness, engagement, and customer acquisition.
• Build and scale performance marketing channels including Meta, Google, and other digital platforms.
• Analyze campaign performance and customer insights to optimize marketing effectiveness.
• Collaborate with Product, Design, and Leadership teams to drive GTM initiatives.
• Build and manage marketing budgets, KPIs, and reporting frameworks.
• Hire, mentor, and lead a high-performing marketing team.
• Drive community-building and customer engagement initiatives.

Required Skills

• Brand Strategy
• Brand Management
• Brand Building
• Consumer Marketing
• Marketing Strategy
• Product Marketing
• Growth Marketing
• Performance Marketing
• Go-To-Market (GTM) Strategy
• Customer Acquisition
• Digital Marketing
• Content Marketing
• Community Building
• Marketing Analytics
• Campaign Management

Preferred Background

• Experience in Food Delivery, Quick Commerce, Consumer Internet, E-commerce, D2C, or FMCG sectors.
• Proven experience launching or scaling consumer brands.
• Strong understanding of consumer behavior and customer lifecycle management.
• Hands-on experience with digital marketing platforms and analytics tools.
• Experience working in startup or high-growth environments.

Min 4 Years Experience in Embbeded domain

1. C++

2. C++ ★ Profinet ProfiSAFE ★ Embedded RTOS

3. rtos c c++ python ★ Industrial protocols Embedded Security Threat Modeling ★ Embedded C Embedded Linux

4. Embedded Systems ★ Embedded C ★ C++ ★ RTOS

We are hiring!!

JOB TITLE: Back-end Developer

EXPERIENCE: 3 - 7 years

LOCATION: Mumbai (Borivali East)

TIMINGS: Indian Shift Timings

TYPE OF WORKING: Work from office

NOTICE PERIOD: 1 month

Responsibilities

• Participate in the entire application lifecycle, focusing on coding and debugging
• Must have a clear understanding of Database
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Perform UI tests to optimize performance
• Manage cutting-edge technologies to improve legacy applications
• Collaborate with Front-end developers to integrate user-facing elements with server-side logic
• Gather and address technical and design requirements
• Provide training and support to internal teams
• Build reusable code and libraries for future use
• Liaise with developers, designers and system administrators to identify new features
• Follow emerging technologies

Requirements

• Proven work experience as a Back-end developer
• Experience in Node.js language
• Familiar with building REST API
• In-depth understanding of the entire web development process (design, development and deployment)
• Hands on experience with programming languages like Java, Ruby, PHP and Python
• Working knowledge of CMS framework
• Familiarity with front-end languages (e.g. HTML, JavaScript and CSS)
• Excellent analytical and time management skills
• Teamwork skills with a problem-solving attitude

• Source potential candidates and screen resumes
• Perform pre-screening calls and interviews to analyze applicants’ abilities and fit to company culture
• Coordinate and see through the entire recruitment process
• Coordinate with department heads to forecast department goals and hiring needs
• Craft and send personalized recruiting emails with current job openings to passive candidates
• Participate in tech conferences and meetups to network with IT professionals
• Monthly recruitment reports on the pipelines and satisfaction level of candidates

• Proven work experience as a Technical / Technology Recruiter
• Must be data driven, and able to track, measure and report on all parts of the recruitment funnel
• Technical expertise with an ability to understand and explain job requirements for IT roles
• Familiarity with Applicant Tracking Systems and resume databases
• Experience in Sourcing, Candidate Management

Job Description:

• Integration developer who is having experience in any one of the integrations tools Dell Boomi, MuleSoft, Informatica.
• Understand requirements and participate in designing the solution
• Develop the solution as per the design by following coding guidelines.
• Test the developed solution.
• Work on defect fixes
• Follow project processes
• Provide accurate status report on a daily basis

Job Responsibilities:

• Participate in Design and develop as per the design and requirements
• Follow coding guidelines and produce quality output
• Follow the project processes and completed the development within the set target
• Analyze the defects to identify root cause and fix the defects.
• Be Open to learn other integration tools.

Primary Skills Required: Dell Boomi, Mulesoft, Informatica

Secondary Skills Required: Java, Salesforce

Technical Skills Required:

Experience in any one of the Integration tool, Dell Boomi, Mulesoft and Informatica.
Required at least one Certification on any Integration Tool