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Senior Manager of Architecture & Data Governance

Onsite in San Antonio, Texas

Open to candidates who are open to relocating to the San Antonio, Texas area

$150,000 – $185,000 base

An established company entering a new era of innovation is seeking a Senior Manager of Architecture & Data Governance to lead the transformation of its data infrastructure and governance from the ground up. This is a high-impact role for a hands-on data leader eager to design and implement scalable frameworks that support enterprise-wide decision-making.

If you’re passionate about building modern data ecosystems where none currently exist, influencing enterprise architecture strategy, and ensuring trusted, secure, and well-governed data across the organization-this is your opportunity to own that vision.

What You’ll Own

• Define and implement the company’s enterprise-wide data architecture and governance strategy
• Design systems that support data lakes, data warehouses, real-time platforms, and emerging analytics tools
• Establish and operationalize governance standards: metadata management, lineage, access controls, quality, and compliance
• Lead data quality initiatives and implement scalable solutions for classification, cataloging, and stewardship
• Partner with cross-functional teams (IT, Operations, Legal, HR, and Executive Leadership) to guide responsible data use and shape data-driven culture
• Advise senior leaders on data risk, compliance, and strategic infrastructure planning
• Opportunity to grow and manage a team over time

What You Bring

• 6-8+ years in data architecture, data governance, or enterprise data management roles
• Experience building and operationalizing data infrastructure and governance frameworks from scratch
• Expertise in Azure or similar cloud-based data environments
• Strong knowledge of data management frameworks and compliance standards
• Familiarity with ETL tools, data cataloging platforms, metadata systems, and security protocols
• Exceptional cross-functional communication skills. You can prove your ability to engage both technical and non-technical stakeholders with clarity and confidence

Preferred Experience

• Exposure to operations-heavy environments with data use cases spanning labor, HR, and supply chain
• Comfort with fast-paced, evolving technical environments and an openness to redefining the tech stack as needed

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Director of Affiliate Marketing Analytics

Fully Remote in the United States – Must be located in the U.S.
$175,000 – $205,000 base + bonus
Comprehensive benefits including generous PTO, 401(k) match, and more

About the Company

This growing consumer financial organization helps individuals find lasting financial freedom through thoughtful, data-informed solutions. Rooted in empathy and innovation, the company combines human understanding with analytical rigor to deliver experiences that empower customers and foster long-term trust. With a strong direct-to-consumer focus, it’s investing in next-generation marketing technology and performance analytics to drive meaningful impact at scale.

About the Role

This is a newly created leadership opportunity for a hands-on, strategic analytics professional who thrives at the intersection of data, marketing, and partnership growth. You’ll take ownership of the affiliate marketing analytics function – leading efforts to measure performance, optimize partnerships, and scale monetization strategies across a diverse portfolio of affiliate partners.

As a player-coach, you’ll guide and support a talented team of analysts while staying close to the data yourself. Collaboration is key in this role – you’ll work closely with marketing, partnerships, and finance leaders to uncover insights, shape strategy, and tell the story behind the numbers. This position is ideal for someone who enjoys both leading and doing, balancing strategic vision with a practical, hands-on approach.

Key Responsibilities

• Lead end-to-end analytics for the affiliate marketing channel, driving visibility into partner performance, conversion, and ROI.

• Build and maintain dashboards and BI tools to support confident, data-driven decisions.

• Develop and refine funnel metrics and monetization models to strengthen partner acquisition and performance.

• Collaborate with affiliate and partnership teams to improve lead quality, payout structures, and campaign strategy.

• Design and interpret incrementality models to evaluate the true impact of affiliate traffic.

• Communicate insights and recommendations clearly to senior leadership, including marketing executives and the C-suite.

• Mentor and empower a small team of analysts while remaining hands-on with complex analysis.

• Work cross-functionally with Marketing, Finance, and Data Engineering to ensure reliable data pipelines, forecasting accuracy, and effective spend allocation.

Role Requirements

• 8+ years in marketing analytics, with at least 3 years focused on affiliate or partnership analytics.

• 3+ years of experience managing and developing analytical talent.

• Advanced proficiency in SQL and BI tools (Sigma preferred; Tableau, Looker, or Power BI also great).

• Proven ability to turn data into clear insights that inform both strategy and execution.

• Experience managing large-scale affiliate programs or partnerships (70+ partners).

• Excellent communication and storytelling skills, with the ability to engage both technical and non-technical audiences.

• Thrives in dynamic, high-growth environments and enjoys collaborating across teams to solve complex challenges.

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Director of Digital Analytics

Fully Remote in the United States – Must be based in the U.S.
$165,000 – $195,000 base + bonus
✨ Generous PTO, 401k match, and excellent benefits

This company is on a mission to reimagine how data and technology can create more meaningful, accessible experiences for consumers. After expanding its tech and analytics team from just a handful of people to more than 100 in the past year, they’re looking for a Director of Digital & Customer Analytics to help shape the next chapter of their growth story.

About the Company

This fast-growing, consumer-focused financial services organization helps people take control of their financial futures through approachable, personalized solutions. With a deep commitment to innovation and empathy, they’re building modern analytics and digital capabilities that empower millions of consumers to make confident, informed financial decisions.

What You’ll Do

• Inspire and guide a small, global analytics team (based in the U.S. and near-shore) while fostering collaboration and growth.

• Champion digital and consumer insights, bringing a data-informed lens to every customer touchpoint and helping shape the direct-to-consumer strategy.

• Work hands-on with SQL, BI tools, GA4, and Google Tag Manager to uncover meaningful trends and tell the story behind the numbers.

• Turn complexity into clarity, translating advanced analytics into actionable insights that inform leadership decisions.

• Collaborate across teams to strengthen digital strategy, elevate the customer experience, and drive measurable impact.

What We’re Looking For

• 8+ years of experience in consumer or digital analytics, with strong technical fluency in SQL, BI (Power BI, Tableau, Looker, etc.), and GA4/GTM.

• At least 3 years of leadership experience guiding, developing, and empowering analytics professionals.

• A warm, confident communicator who thrives on building relationships and connecting insights to business outcomes.

• Deep understanding of direct-to-consumer (D2C) analytics, customer behavior, and digital engagement.

• Excitement for working in a high-growth, evolving environment where ideas and collaboration fuel success.

Why Join

• A leadership role with the freedom to shape the digital analytics vision and strategy.

• A flexible, fully remote work environment with light travel a few times a year.

• The chance to help build something impactful – a data-driven culture that truly supports and empowers consumers.

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Director of Digital and Customer Analytics

Fully Remote in the United States — Must be in the United States

$165,000 – $195,000 base + bonus

Great benefits like generous PTO, 401k match, and more

This company is on a mission to transform the way it uses technology and data to better serve consumers. After growing its tech and analytics team from just 6 people to over 100 in the past year, they are looking for a Director of Consumer & Digital Analytics to join at a pivotal moment in their journey.

About the Company

This is a fast-growing, consumer-focused financial services company helping people take control of their financial futures through accessible, tailored solutions. With a strong emphasis on digital innovation and customer experience, they are building modern tools and analytics capabilities to improve how millions of consumers manage their financial wellbeing.

What you’ll do:

• Lead and mentor a small, global analytics team (based in the US and near shore)
• Drive consumer experience and digital analytics initiatives with a focus on direct-to-consumer strategies
• Work hands-on with SQL, BI tools, GA4, and Google Tag Manager to derive insights from raw data
• Translate complex analytics into clear, actionable recommendations for senior leadership
• Partner across teams to shape digital strategy and deliver measurable impact

What we’re looking for:

• 8+ years of experience in consumer or digital analytics, with strong technical skills in SQL, BI (Power BI, Tableau, Looker, etc), and GA4/GTM
• Proven leadership experience managing and growing analytics teams — at least 3 years of direct management
• A personable, outgoing communicator who’s comfortable engaging across all levels of the business
• Strong background in direct-to-consumer (D2C) digital analytics
• Ability to thrive in a fast-paced, high-growth environment

Why join:

• High-impact leadership role in a fast-scaling organization.
• Fully remote in the US, with light travel (a few times a year)
• Opportunity to shape the digital analytics function during a time of rapid growth and investment.

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Staff Machine Learning Engineer

Location: Fully Remote (U.S. only)

Company: Mid-sized Fintech Startup, Backed by Leading Enterprise

About the Role

Join a growing fintech platform powering the next generation of financial products. This role is ideal for hands-on, end-to-end machine learning engineers who thrive at the intersection of R&D and production. The team values ownership, autonomy, and a pragmatic, research-driven approach.

Key Responsibilities

• Design, build, and deploy end-to-end machine learning systems from research through to production at scale.
• Take a lead role pushing state-of-the-art research and models into robust production pipelines.
• Drive and own fine-tuning of large models, especially LLMs, and develop solid inference frameworks (such as vLLM).
• Architect and optimize Retrieval-Augmented Generation (RAG) workflows, including reranking, hybrid search, and knowledge graph integration.
• Create and iterate on agentic workflows to make ML products more adaptive and autonomous.
• Apply strong reinforcement learning (e.g., PPO, DPO, GRPO) to real-world fintech use cases.
• Write and maintain high-quality, production-ready Python code (no specific libraries required, flexibility valued).

Requirements

• Proven track record with end-to-end machine learning systems in production settings.
• Expert-level experience conducting and operationalizing advanced model research, including model fine-tuning and LLMs.
• Deep expertise in RAG systems design, search/retrieval, and graph-based architectures.
• Applied knowledge of reinforcement learning techniques (PPO, DPO, GRPO).
• Hands-on experience building agentic or workflow-based ML platforms.
• Strong proficiency in Python; open to any ML frameworks/tooling.
• Experience with LLMs, neural networks, and inference frameworks; vLLM desirable.
• Background in fintech preferred but not required.
• Excellent communication, low-ego, and proactive ownership in team settings.
• Prior experience in startups or smaller organizations highly valued.
• Technical leadership experience for Staff-level candidates, preferably with mentoring or team guidance capabilities.

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SENIOR DATA SCIENTIST

Remote in the United States — Candidates must be located in the United States

$160,000 – $190,000 Total Compensation

Full time permanent position

The Company:

This company serves as an online program manager, assisting universities in converting traditional brick-and-mortar programs into accelerated online formats. They handle digital marketing, application support, and online marketing to attract and retain students, providing continuous support once enrolled. In this role, you will need end-to-end machine learning model-building experience. The best candidate will be impact-oriented, driven, ambitious, and entrepreneurial, with a growth mindset focused on personal and peer development.

Job Responsibilities:

• Lead and deliver high-impact data science initiatives across marketing analytics, including marketing mix modeling (MMM), Google Ads optimization, and attribution modeling.
• Support and expand ongoing projects in churn prediction, lead scoring, and customer segmentation to drive measurable business outcomes.
• Partner closely with the Head of Innovation, senior leadership, and cross-functional teams to identify opportunities for AI/ML application and operationalize solutions into the business.
• Own the end-to-end lifecycle of data science projects – scoping, experimentation, model development, and delivery – with a focus on actionable impact.
• Mentor and guide teammates, with a clear growth path into management and eventual responsibility for direct reports.

Essential Skills:

• Proven track record of delivering production-level machine learning models and advanced analytics solutions that drive business impact.
• Hands-on expertise in Python, SQL, and Databricks (or similar platforms).
• Strong background in marketing analytics (MMM, attribution modeling, paid media optimization, customer segmentation) and experience with churn prediction or lead scoring.
• Ability to translate complex analyses into clear insights for technical and non-technical stakeholders.
• Experience leading workstreams or teams, with the ability to grow into a formal people management role.
• Excellent communication, collaboration, and problem-solving skills with a bias toward action and measurable results.

BENEFITS:

A competitive base salary of $160,000-$190,000 total compensation + benefits

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LEAD DATA SCIENTIST (Future Team Lead/Manager)

REMOTE – US

$180,000 – $200,000 BASE SALARY

ABOUT THE COMPANY

We’re a global technology-driven education company helping institutions bring programs online and supporting students from enrollment through completion.

ABOUT THE ROLE

We’re seeking a Data Scientist to drive impact on enrollment and retention through projects like churn prediction, lead scoring, attribution, and media mix modeling. You’ll start as an individual contributor with a clear path to step into a Team Lead/Manager role within 6 months.

RESPONSIBILITIES

• Lead data science projects in marketing (lead scoring, churn prediction, attribution, segmentation, MMM, digital ads optimization)
• Collaborate with marketing stakeholders to turn business needs into data-driven solutions
• Build, test, and deploy predictive models that deliver clear business outcomes
• Communicate project results and impact effectively to non-technical audiences

TECH/TOOLS:

• Languages: Python, SQL
• Cloud & Tools: Databricks & AWS, GCP or Azure
• Focus Areas: Marketing attribution, customer segmentation, predictive modeling

What We’re Looking For

• 7-10 years of experience in Data Science or Analytics Data Science
• Proven expertise in marketing-focused data science (MMM, attribution, segmentation, ad performance)
• Strong track record of demonstrating business impact in past projects
• Excellent communication skills to translate insights into business terms
• Leadership potential – comfortable starting as an IC but eager to grow into management

Why You’ll Love It Here

This is a rare opportunity to combine hands-on data science work with a clear growth path into leadership. You’ll join a mission-driven EdTech company making higher education more accessible while shaping the future of a growing data science team. Your work will directly influence student success at scale.

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DIRECTOR OF DIGITAL & CX ANALYTICS

$170k-$200k BASE + 15-20% BONUS

REMOTE ROLE – U.S. BASED

EXCLUDES: WA, DC, MA, IL, VT, ME, RI, NM, PR, OH, AK, MT, SD, WV, WY, LA

Are you looking to lead digital analytics strategy in a high-impact role, shaping customer experiences through data, insights, and personalization?

THE COMPANY

This fast-growing consumer organization is transforming how customers engage online by investing in digital tools, data-driven decision-making, and customer experience optimization. They’re expanding their analytics leadership to accelerate digital transformation and deliver measurable growth.

THE ROLE

As Director of Digital & CX Analytics, you’ll lead a team of analysts to build and scale customer analytics.

Key responsibilities include:

• Driving measurement and customer journey analytics across digital and e-commerce channels
• Partnering with product, marketing, and tech leaders to improve engagement, retention, and revenue
• Implementing frameworks for A/B testing, funnel optimization, and performance measurement
• Translating data into strategies that directly impact business outcomes and customer satisfaction

YOUR SKILLS AND EXPERIENCE

The successful candidate will have:

• Proven experience leading digital or customer analytics teams
• Expertise in journey analytics, funnel optimization, and experimentation
• Hands-on skills in SQL and BI tools (Looker, Tableau, Power BI)
• Experience with cloud data platforms (Snowflake, GCP, AWS) and martech stacks
• Strong communication and stakeholder management skills

THE BENEFITS

• $170k-$200k base salary + 15-20% bonus
• Remote role with flexible U.S. location (some states excluded)

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SENIOR MACHINE LEARNING ENGINEER – SEARCH & RECOMMENDATIONS

Hybrid – Bay Area (3 Days/Week Onsite)

$160,000 – $190,000 Base + Equity

About the Company

We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven.

With a strong base of engaged users on both the buying and selling side, we’re investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We’re now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable.

About the Role

We’re looking for a Senior Machine Learning Engineer to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users – from personalized recommendations and smarter search to seller tools and fraud detection.

This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace.

What You’ll Be Doing

• Lead development of core ML systems that power recommendations, personalization, and trust & safety
• Design both batch and real-time pipelines that take models from experimentation to full production
• Collaborate with data scientists to turn prototypes into scalable, production-ready models
• Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.)
• Help set technical direction across multiple teams and mentor other engineers
• Partner with product and infrastructure teams to drive big-picture decisions

Our Tech Stack

• Languages & Frameworks: Python, PyTorch, TensorFlow
• Tools: Airflow, Spark, MLFlow, Databricks, Feature Store
• Infrastructure: AWS + GCP, supporting real-time and batch workflows
• Model Serving: Vector databases, scalable inference pipelines, model monitoring tools

What We’re Looking For

• 2+ years of engineering experience, including 1+ years working on ML systems in production
• Experience building and scaling recommendation, search, or personalization systems
• Strong understanding of distributed systems, model performance, and production deployment
• Able to design systems that balance speed, reliability, and cost
• Experience working on large-scale marketplaces, e-commerce, or other consumer platforms

Why You’ll Love It Here

You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results – all within a supportive, fast-paced environment.

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Manager of Applied Research – AI Center of Excellence

Locations: Hybrid in New York, NY | Eagan, MN | Frisco, TX (relocation available)

Compensation: $250-270k base | $400k+ total comp with RSUs + annual bonus

Role Overview

We are seeking a technically strong Manager of Applied Research to join our client’s AI Center of Excellence and lead innovation across advanced NLP, ML, and LLM-driven systems. This is a hybrid player/coach position: you will directly contribute to building applied AI solutions while leading a small team of researchers and engineers. The role requires deep experience with modern large language models, retrieval systems, and agentic frameworks, as well as a track record of bringing cutting-edge research into production environments at scale.

Key Responsibilities

• Lead and mentor a research team while contributing hands-on to the development of ML/NLP/LLM-based legal and knowledge-domain products.
• Define and implement technical strategy across the AI lifecycle: from data acquisition, fine-tuning, and evaluation to deployment, observability, and governance.
• Drive innovation in LLM-based architectures, including Retrieval Augmented Generation (RAG), hybrid search systems, knowledge graph integration, and agentic workflows.
• Establish best practices for model evaluation, monitoring, and compliance, particularly in regulated industries (legal, financial, tax, or related domains).
• Collaborate closely with global stakeholders in product, engineering, and UX to ensure research outcomes translate into measurable customer impact.
• Stay ahead of the field in applied research, contributing thought leadership externally (e.g., publications, conferences) and internally (e.g., protocol design, innovation roadmaps).

Qualifications

• MS or PhD in Computer Science, Machine Learning, NLP, or a related field.
• 7+ years of professional experience, with at least 2 years in a player/coach leadership capacity managing technical contributors.
• Proven success in moving AI/ML research from experimentation to production systems.
• Expertise in large language models: fine-tuning, building evaluation frameworks, developing with RAG pipelines, hybrid retrieval, and integrating agentic systems (LangChain, LangGraph, Pydantic AI, etc.).
• Strong background in Python development; proficiency with additional languages such as Java or Scala are a plus.
• Hands-on knowledge of MLOps & infrastructure, including containerization, real-time inference pipelines, model observability, governance, and deployment in AWS and/or Azure.
• Experience in environments where compliance, auditability, and interpretability matter (legal, tax, banking, regulated enterprise software).
• Familiarity with building and scaling microservices for ML applications.
• Research mindset: demonstrated by publications in top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD) or equivalent contributions to the field.
• Strong ability to communicate complex technical concepts to diverse audiences and translate research into business and customer impact.

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Senior Full Stack Engineer
San Francisco Bay Area (Hybrid / On-site)
Competitive Salary + Benefits + Equity

A growing health technology company is seeking a senior full stack engineer to build scalable, secure, and intuitive web applications that make complex healthcare data easy to understand and use.

The Role

• Develop new features and APIs to enhance platform functionality

• Build intuitive, user-friendly interfaces

• Contribute to code reviews, design discussions, and agile processes

• Balance rapid iteration with long-term system sustainability

Skills and Experience

• 6+ years of full stack development experience

• 2+ years in healthcare or biotech (HIPAA knowledge preferred)

• Strong experience with Python/Django and TypeScript/React

• Experience designing APIs and using CI/CD pipelines

• Familiar with UX tools like Figma or Sketch

• Background in genetics a plus

How to Apply

To register your interest, please send your resume to Calum Reid via the apply link on this page.

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Title: Senior Machine Learning Engineer

Location: Hybrid – Redwood City, CA – 3x per week

Responsibilities:

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

Qualifications:

• 3+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

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