Head of Technology (Founding Member)

Key Responsibilities

• Own and drive the product roadmap for data and AI-powered features end-to-end

• Translate complex data and AI capabilities into simple, intuitive product experiences for brands and creators

• Collaborate closely with data engineers, ML engineers, and business teams to define and deliver product requirements

• Define product metrics and success criteria — including data quality, model accuracy, and user engagement

• Identify gaps in existing data pipelines and work with engineering to build scalable solutions

• Conduct user research, competitor analysis, and market mapping to inform product decisions

• Prioritise features and manage the product backlog with a strong data-driven approach

• Work with the AI team to evaluate and integrate LLM and GenAI capabilities into the product

Must-Have Skills

• Total experience of 2–3 years with at least 1–2 years in data engineering or data analytics

• Transitioned into or actively pursuing a product management role

• Strong understanding of data pipelines, ETL processes, SQL, and data modelling

• Ability to write and interpret data queries to inform product decisions

• Excellent communication and stakeholder management skills

• Strong product thinking — ability to break down complex problems into simple product solutions

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

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.

**We Are Hiring: Workday Functional Consultant**

**Experience:** 5+ Years

**Location:** Remote

**Notice Period:** Immediate or up to 10-15 days

**Key Skills:**

* Workday Core HCM & Configuration

* Total Rewards / Advanced Compensation (Merit, Promotion, Bonus Cycles)

* Payroll, Time Tracking, Absence & Benefits

* Workday Security Administration

* Workday Reporting & Dashboards

* Business Process Framework (BPF) & Automation

* Requirements Gathering & Stakeholder Management

**Responsibilities:**

Support and configure Workday modules, manage security and reporting, optimize business processes, and collaborate with HR and global teams to deliver effective Workday solutions.

**Nice to Have:** Experience with ATS tools like Greenhouse.

#TechHiring

#Workday

#RemoteJobs

Role Overview: We are looking for a versatile Graphic and Video Editor proficient in graphic design tools and video editing software. The candidate will create both static and motion visual content as per brand requirements.

Key Responsibilities:

• Design creatives as per brand guidelines using tools like Adobe Illustrator, Photoshop, InDesign, CorelDRAW, Figma, etc.
• Edit videos on an as-needed basis as per brand guidelines using tools such as Adobe Premiere, iMovie, etc.
• Collaborate with internal teams to understand creative needs and deliver visually appealing content..
• Play a significant role in the brand’s growth by taking leadership for all creative output of the brand, along with maintaining consistency with brand guidelines.

Requirements:

• Proficiency in softwares and tools such as Adobe Illustrator, Photoshop, InDesign, Premiere, CorelDRAW, iMovie, Figma, etc.
• Strong desire to excel and passion for creative work with an eye for attention to detail.
• Inclination to learn about principles of brand strategy & storytelling to be able to support brand growth. 
• Minimum 6-12 months of experience preferably with a consumer D2C brand, but freshers with strong portfolios and training are welcome to apply

We are looking for a seasoned full-stack engineer to build out and manage our entire web infrastructure. Successful candidates will have a minimum of one year recent experience with all of the skills listed below.

Our project entails implementing our pre-approved UI, constructing our API, connecting the two, and setting up our server infrastructure. This includes all associated areas such as database and architecture design.

• Design and implementation of the overall web architecture
• “Pixel-perfect” implementation of our approved user interface
• Design and deployment of our database
• Ensuring the entire stack is designed and built for speed and scalability
• Design and construction of our REST API
• Integrating our front-end UI with the constructed API
• Design and implementation of continuous integration and deployment