Senior Data Analytics Engineer

We're Part and Sum, a collective of curious people who help our clients bring new ideas to market and use data to grow businesses. Our strategy consulting work is powered by customer insights and our media agency work is designed to help us learn and drive continuous improvement. We have an impressive track record for a small-ish team - we work with the biggest brands in the world (alongside smaller brands, too) and we have ambitions to expand our influence over the next decade.

We're looking for a Senior Data Analytics Engineer who can bridge engineering excellence and analytical insight designing scalable cloud architectures, automating complex workflows, and translating business questions into reliable, data-driven systems.

This role bridges data engineering, MLOps, and solution architecture ideal for someone who thrives at the intersection of infrastructure, intelligence, and impact.

What you'll do:

• Design, build, and operationalize AI-driven data systems
  in the Google Cloud ecosystem leveraging Vertex AI, BigQuery, Looker, Adverity and related services for automation, analytics, and intelligent decision-making.
• Deploy, tune, and train LLM models
  implementing inference pipelines, fine-tuning workflows, and integration into production environments using Vertex AI, Bedrock, or custom APIs.
• Architect and maintain scalable data pipelines
  that enable clean, reliable data ingestion for analytics, experimentation, and model training.
• Lead the end-to-end lifecycle (SDLC)
  of AI projects from scoping and architecture to deployment, testing, monitoring, and iteration.
• Collaborate across growth, strategy, and client teams
  to identify opportunities where AI and data automation can drive measurable business and media performance.
• Implement measurement and experimentation frameworks
  (A/B testing, causal inference, MMM, GeoLift) that link data insights to real-world marketing outcomes.
• Support the delivery of dashboards through APIs, and automation tools
  that visualize insights and system performance using Looker, Data Studio, or custom frontends.
• Oversee DevOps workflows and CI/CD pipelines
  , ensuring smooth deployment, observability, and scalability of AI and data systems.
• Champion governance, data quality, and ethical AI practices
  , embedding reliability and transparency throughout the stack.
• Stay current with emerging AI, data, and media technologies
  continuously exploring new methods and tools for faster, smarter system design.

Who you are:

Must Haves

• 6+ years of experience in
  data engineering, ML systems, or applied AI
  , ideally within a media, analytics, or product organization.
• Hands-on experience with LLM model deployment, tuning, and training
  , including integration with APIs and inference pipelines.
• Advanced proficiency in
  Python and SQL
  , with strong data modeling and software engineering foundations.
• Deep familiarity with
  Google Cloud Platform
  especially
  Vertex AI, BigQuery, Cloud Functions, Cloud Storage, Pub/Sub
  , and related tools.
• Experience managing the
  Software Development Life Cycle (SDLC)
  , from requirements and design through testing, deployment, and maintenance.
• Strong understanding of
  DevOps principles
  including CI/CD, Docker, Terraform, and environment management for analytics or AI workflows.
• Proven ability to
  translate business goals into technical solutions
  and communicate effectively across teams and clients.
• Strong collaboration and communication skills comfortable presenting technical concepts to non-technical stakeholders.
• Demonstrated experience in
  media analytics, experimentation, or performance optimization
  , using frameworks such as MMM, A/B testing, or attribution modeling.
• Experience with Customer.IO, Snowflake, Branch, Segment, salesforce and similar systems.
• Computer/data science degree or equivalent training.

Nice to Have

• Experience with
  RAG systems
  ,
  vector databases
  (Vertex Matching Engine, Pinecone, Weaviate), and
  embedding pipelines
  .
• Familiarity with
  prompt engineering
  ,
  LLM evaluation
  , and
  agent orchestration
  (LangChain, CrewAI, LangGraph).
• Knowledge of
  paid media platforms
  and measurement tools (GA4, Adverity, Meta Ads, Google Ads, or DV360).
• Background in
  forecasting, causal inference, or Bayesian modeling
  for marketing and business analytics.
• Prior
  consulting or client-facing experience
  , managing multiple workstreams and delivering fast-turnaround technical projects.

Why work at Part and Sum?

• Autonomy
  : Each team member has clarity and support in their role, but is also given the freedom to tackle work in their own way. Bring your own perspectives and approaches; feel equipped to confidently make choices for you and your clients.
• Creativity in systems
  : We build businesses and entire systems. Marketing is a starting point, not the sum of our impact.
• Craft
  : We support your career growth through thoughtful work, collaboration, and professional development opportunities.
• Our expectations match your own
  : We're a team of smart, driven folks doing the best work of our careers. We have high expectations, but support each other in achieving them.
• Ownership
  : We're in this together, and believe everyone's incentives should be aligned. We share profits, equity, and our business health metrics with the full team.
• Tight feedback loops
  : We believe in clear feedback and effective communication. We ask a lot of questions and work together to find answers.
• Good enough > perfect
  : We're not interested in perfection. It doesn't exist. We learn by putting good-enough things in the market as soon as possible and iteratively improving.
• We're kind
  : We're a thoughtful, nice, and considerate bunch of people.
• We have fun
  : We take our work seriously, but not ourselves.

Perks and Benefits - The Essentials

• Compensation:
  This role offers a competitive base salary in the range of $80,000–$120,000. We use a transparent compensation framework, and final offers are based on demonstrated skills and experience during the interview process.
  Note: This is a senior individual-contributor role and does not include direct people management.
• Health Benefits:
  We offer a variety of health insurance options available on the first day after the first month of employment.
• 401k:
  Set your future self up for financial success Employees can start contributing to their 401k after 30 days of employment. We offer up to a 3% match.
• Responsible PTO Policy:
  In addition to US holidays, we are flexible and collaborative about planning and taking time off.
• Family Leave:
  We offer 3 months of paid family leave for birthing parents and 2 months for non-birthing parents. All parents can choose to take additional time off.

Perks and Benefits - Personal and Professional Development

• Home Office Stipend:
  We provide all equipment plus an additional $500 to set up your home office.
• Office:
  We have IRL office spaces in NY and LA (as well as Amsterdam, Sydney, and London). Team members who are commuting distance from our offices are welcome to use them; with an expectation of coming together at least 1 day/week.
• Professional Development:
  All full-time team members receive an annual professional development budget that increases with your tenure.
• Retreats
  : Join us for IRL company get-togethers each year.
• Sabbaticals:
  Take a 6-week break, fully paid, after every 5 years.

This is a full-time, US-based opportunity. Our US hubs are in LA, CHI, and NYC.

Part and Sum is in Residence.