Sr Computational Scientist
San Francisco / $190000 - $210000 annum
INFO
SALARY:
$190000 - $210000
LOCATION
San Francisco
Permanent
About the Role
This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company's drug response prediction work - one of the most consequential and technically demanding initiatives in our portfolio.
This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets - someone who can apply state-of-the-art methods without losing sight of what actually works in practice.
The Problem We're Solving
There are thousands of drugs that work - but only for a small subset of patients, and we largely don't know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient's biology and their response to treatment, and translate that into insights that immediately improve care.
This is foundational, mission-critical work. The person in this role will directly shape how we approach this problem - the methods we use, the data we bring to bear, and the analytical frameworks we build. It is an opportunity to have genuine scientific and clinical impact.
What You Will Do
Drug Response Prediction
- Lead the design and execution of computational approaches to predict drug response across patient populations
- Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
- Identify biological and clinical signals that differentiate responders from non-responders
- Translate modeling outputs into actionable biological and clinical insights
Data & Analysis
- Work extensively with real-world data (RWD) - EHR, claims, clinical trial data - at scale
- Build robust analytical pipelines that handle messy, heterogeneous, and incomplete data
- Apply appropriate statistical frameworks to ensure rigor and reproducibility
- Contribute to the development and evolution of internal data infrastructure and analysis tooling
Modeling & Methods
- Apply and adapt state-of-the-art ML methods - including causal inference, survival analysis, and multi-omics integration - to biological and clinical problems
- Balance methodological sophistication with practical performance constraints
- Evaluate trade-offs between model complexity, interpretability, and real-world utility
- Stay current with the literature and bring relevant advances into the team's practice
Cross-Functional Collaboration
- Work closely with biologists, clinical scientists, and data engineers to design studies and interpret results
- Communicate findings clearly across both technical and non-technical audiences
- Contribute to a collaborative, intellectually rigorous team culture
What We're Looking For
Required
- PhD in a quantitative discipline - computational biology, biostatistics, bioinformatics, computer science, physics, statistics, or a related field; open to diverse backgrounds
- Fluent in Python - comfortable writing clean, well-structured code for data analysis and modeling
- Real-world data experience - hands-on work with EHR, claims, or other large-scale clinical datasets
- Ability to work with messy data at scale - experience wrangling, cleaning, and extracting signal from imperfect data
- Strong quantitative intuition - both in modeling design and in interpreting results critically
- Industry experience - 4+ years; 6+ preferred, ideally with both large pharma/biotech and startup exposure
- Mission-driven - genuinely motivated by the opportunity to improve patient outcomes through better science
Strongly Preferred
- Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, etc.)
- Background in statistics, epidemiology, or biostatistics alongside ML
- Familiarity with pharmacogenomics, multi-omics, or translational biology
- Experience contributing to or extending data infrastructure and analysis frameworks
- Track record of working across interdisciplinary teams (biology, chemistry, clinical)
- Startup experience - comfort with ambiguity, ownership, and moving quickly
Background & Experience Profile
We are open to a wide range of PhD backgrounds - what matters most is strong quantitative and analytical foundations, genuine intellectual curiosity, and the ability to work rigorously with complex biological and clinical data. Prior biology experience is not required, but candidates with some exposure to biological or clinical domains will be viewed favorably.
The ideal candidate has spent time in both large pharma/biotech (where they developed rigor and depth) and a startup environment (where they developed speed and ownership). If you haven't done both, a trajectory that moves toward increasing independence and scope is what we're looking for.
CONTACT
Tim Lucas
Manager
SIMILAR
JOB RESULTS
Sr Computational Scientist
San Francisco
$190000 - $210000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
About the Role
This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company’s drug response prediction work – one of the most consequential and technically demanding initiatives in our portfolio.
This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets – someone who can apply state-of-the-art methods without losing sight of what actually works in practice.
The Problem We’re Solving
There are thousands of drugs that work – but only for a small subset of patients, and we largely don’t know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient’s biology and their response to treatment, and translate that into insights that immediately improve care.
This is foundational, mission-critical work. The person in this role will directly shape how we approach this problem – the methods we use, the data we bring to bear, and the analytical frameworks we build. It is an opportunity to have genuine scientific and clinical impact.
What You Will Do
Drug Response Prediction
- Lead the design and execution of computational approaches to predict drug response across patient populations
- Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
- Identify biological and clinical signals that differentiate responders from non-responders
- Translate modeling outputs into actionable biological and clinical insights
Data & Analysis
- Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale
- Build robust analytical pipelines that handle messy, heterogeneous, and incomplete data
- Apply appropriate statistical frameworks to ensure rigor and reproducibility
- Contribute to the development and evolution of internal data infrastructure and analysis tooling
Modeling & Methods
- Apply and adapt state-of-the-art ML methods – including causal inference, survival analysis, and multi-omics integration – to biological and clinical problems
- Balance methodological sophistication with practical performance constraints
- Evaluate trade-offs between model complexity, interpretability, and real-world utility
- Stay current with the literature and bring relevant advances into the team’s practice
Cross-Functional Collaboration
- Work closely with biologists, clinical scientists, and data engineers to design studies and interpret results
- Communicate findings clearly across both technical and non-technical audiences
- Contribute to a collaborative, intellectually rigorous team culture
What We’re Looking For
Required
- PhD in a quantitative discipline – computational biology, biostatistics, bioinformatics, computer science, physics, statistics, or a related field; open to diverse backgrounds
- Fluent in Python – comfortable writing clean, well-structured code for data analysis and modeling
- Real-world data experience – hands-on work with EHR, claims, or other large-scale clinical datasets
- Ability to work with messy data at scale – experience wrangling, cleaning, and extracting signal from imperfect data
- Strong quantitative intuition – both in modeling design and in interpreting results critically
- Industry experience – 4+ years; 6+ preferred, ideally with both large pharma/biotech and startup exposure
- Mission-driven – genuinely motivated by the opportunity to improve patient outcomes through better science
Strongly Preferred
- Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, etc.)
- Background in statistics, epidemiology, or biostatistics alongside ML
- Familiarity with pharmacogenomics, multi-omics, or translational biology
- Experience contributing to or extending data infrastructure and analysis frameworks
- Track record of working across interdisciplinary teams (biology, chemistry, clinical)
- Startup experience – comfort with ambiguity, ownership, and moving quickly
Background & Experience Profile
We are open to a wide range of PhD backgrounds – what matters most is strong quantitative and analytical foundations, genuine intellectual curiosity, and the ability to work rigorously with complex biological and clinical data. Prior biology experience is not required, but candidates with some exposure to biological or clinical domains will be viewed favorably.
The ideal candidate has spent time in both large pharma/biotech (where they developed rigor and depth) and a startup environment (where they developed speed and ownership). If you haven’t done both, a trajectory that moves toward increasing independence and scope is what we’re looking for.
To Apply for this Job Click Here
Research Manager
USA Remote
$350000 - $470000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Title: Research Manager
Location: USA Remote
Compensation: Up to $470k + Equity
Essential: A demonstrated research track record with an h-index of 20+
We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media, interactive experiences, and world models. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
This is a high-impact, cross-functional role focused on managing and growing an Applied ML Research team building cutting-edge tools for AI-based media and world models, with a strong research foundation in computer vision and direct exposure to multimodal work, VLMs/MLLMs, and Physical AI as part of their core research team.
What You’ll Do
- Manage and grow a team of senior researchers (likely 5-10), mentoring them and supporting their career growth while staying hands-on with research
- Oversee the transition from research into production, working closely with engineering to ship state-of-the-art ML work
- Partner with Product to initiate and develop research projects that translate into clear user value
- Communicate goals, drive execution, and inspire through others across a cross-functional org
- Translate product and business objectives into technical research strategies
Requirements
- 5+ years of industry experience as a research scientist in computer vision, with 1+ years managing teams
- Comfortable managing senior researchers while remaining hands-on in a hybrid research engineering capacity
- High emotional intelligence, with a track record of mentoring and developing other researchers
- Deep interest in productionizing state-of-the-art ML research, having shipped research into product previously
- Strong communication and collaboration skills across research, engineering, and product
If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.
To Apply for this Job Click Here
Head of Platform & Engineer
London
£100000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Head of Platform & Engineering
London (Hybrid, near Tower Hill)
The Company
They are a global research and insights consultancy that partners with leading brands to inform strategic decision making. By combining advanced analytics, technology, and deep market understanding, they help organisations better understand customers and expand into new markets. Their work involves processing billions of data points per project, with a growing focus on synthetic data and AI-led innovation.
You will join a specialist synthetic data team that operates at the intersection of research, machine learning, and platform engineering, building tools that are shaping the future of data-driven insights.
The Role
- Own and define the platform strategy for a large-scale synthetic data and generative AI ecosystem
- Lead and develop a cross-functional engineering team, setting technical standards and best practices
- Build a scalable, secure, and high-performing platform used across global teams
- Bridge the gap between research, machine learning, and engineering to productionise advanced AI models
- Drive adoption of MLOps best practices including CI/CD, model lifecycle management, and reproducibility
- Ensure enterprise-grade governance, security, and privacy standards are embedded in the platform
Your Skills & Experience
- Strong technical leadership experience across software engineering, data engineering, or machine learning engineering
- Proven experience building and scaling complex data or ML platforms within a product-led environment
- Deep understanding of distributed systems, platform architecture, and high-throughput data processing
- Strong experience with Python and modern data and ML ecosystems
- Hands-on experience with GCP, Kubernetes, and infrastructure as code such as Terraform
- Experience implementing MLOps frameworks and managing model pipelines in production
What They Offer
- Hybrid working with a central London office (near Tower Hill)
- Opportunity to lead a high-impact AI platform from strategy through to delivery
- A collaborative, cross-disciplinary team environment
- Strong scope for leadership growth and influence across the business
How to Apply
If you are interested in this Head of Platform & Engineering role, please apply with your CV for consideration.
To Apply for this Job Click Here
GTM Operations Consultant
San Francisco
$100 - $110
+ Advanced Analytics & Marketing Insights
ContractSan Francisco, California
To Apply for this Job Click Here
GTM Operations Analyst
- 4 month contract with view to convert to FTE
- 2-3 days per week onsite in San Francisco Bay Area
- $110 per hour
Overview
We’re looking for an experienced Go-To-Market (GTM) Operations specialist to support an initial phase of a large-scale SaaS transformation engagement. This role will focus on optimising and redesigning critical sales planning processes, including quota setting, territory alignment, and capacity planning.
You’ll act as the operational lead within a cross-functional team that includes senior data and AI specialists. While technical teams build and deploy solutions, your focus will be on defining the business processes, requirements, and workflows that underpin them.
Key Responsibilities
Process Design & Documentation
- Facilitate workshops and working sessions with business stakeholders
- Capture and document current-state processes
- Design and articulate future-state workflows
- Develop process maps, flow diagrams, and supporting documentation
Operational Expertise
- Provide subject matter expertise across:
- Quota planning
- Territory design
- Capacity planning (books & builds)
- Advise on GTM and revenue operations best practices
Transformation Delivery
- Define detailed requirements for AI-enabled and automated workflows
- Collaborate closely with data and technical teams
- Translate business needs into structured, implementation-ready documentation
Required Experience
Core Skills
- Deep experience in Sales Operations, RevOps, or GTM Operations
- Strong background in quota planning, territory design, and capacity planning
- Experience in B2B SaaS environments
- Proven track record of running stakeholder workshops and driving alignment
- Familiarity with tools such as Anaplan and/or Oracle EPM
Soft Skills
- Strong communicator and facilitator
- Collaborative, approachable, and proactive
- Comfortable influencing stakeholders and leading discussions
- Able to operate effectively in fast-paced or consulting-style environments
Preferred Background
- Experience within a top-tier consulting firm
- Prior consulting or transformation delivery experience
- Exposure to AI-driven transformation initiatives
- Experience supporting large-scale SaaS organisations
To Apply for this Job Click Here
AI Automation Lead
London
£80000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Automation Lead
London (3 Days a week)
The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role
- Design and deliver a fully automated, end-to-end reporting platform
- Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
- Develop scalable systems that replace manual operational tasks with robust, observable solutions
- Implement exception handling and human-in-the-loop mechanisms where needed
- Ensure systems are accurate, auditable, and resilient in a production environment
- Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions
Your Skills and Experience
- Strong commercial experience in applied AI or automation engineering within operational environments
- Strong programming skills in Python and SQL
- Experience building data pipelines and integrating systems via APIs and structured data feeds
- Proven ability to build reliable, production-grade systems with monitoring and testing in place
- Experience with version control and CI/CD practices
- Strong system design capability with an end-to-end mindset
What They Offer
- Competitive salary and comprehensive benefits package
- Opportunity to build a high-impact AI platform from inception
- A collaborative and inclusive working culture
- Strong exposure to modern AI, data engineering, and automation technologies
- Clear scope for professional growth and ownership of key systems
How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.
To Apply for this Job Click Here
Analytics Engineer (12-month FTC)
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
ANALYTICS ENGINEER (12-MONTH FTC)
REMOTE (UK BASED)
UP TO £90,000
This is a unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation at a pivotal stage of its data journey. You will take ownership of critical data modelling work within a modern cloud environment, helping to stabilise and scale key data pipelines while contributing to meaningful, real-world outcomes.
ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:
- Own and deliver in-flight data modelling projects, ensuring continuity and completion
- Design and maintain dbt models including fact tables, dimensions, and metric layers
- Support and optimisie critical data pipelines, particularly around billing and reporting workflows
- Collaborate closely with data engineers to manage data flows across the lakehouse architecture
- Review and improve SQL and dbt work produced by analysts
- Build new scalable data models and contributing to long-term platform development
- Work autonomously within a fast-moving, evolving data environment
Your Skills & Experience
- Strong hands-on experience with dbt and modern data modelling practices
- Advanced SQL capability with the ability to design efficient, scalable queries
- Experience working with Python within a cloud-based data platform
- Strong understanding of dimensional modelling and star schema design
- Exposure to modern lakehouse environments such as Databricks is beneficial
- Ability to work effectively in ambiguity and contribute in less structured environments
- Comfortable working autonomously within a small, high-impact team
- Experience in regulated environments or data governance-heavy organisations is advantageous
APPLY BELOW
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Engineering Manager
London
£600 - £750
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Engineering Manager
£600 – £750 per day
London, Hybrid
This is a high-impact contract opportunity to lead an established product engineering squad within a fast-paced, technology-led environment. The project offers broad exposure across product areas, with the chance to shape engineering direction, influence delivery, and work at pace in a highly collaborative setting.
The Company
They are a technology-focused organisation operating at scale, delivering digital products to a large and active user base. Their engineering function is central to driving innovation, with a strong focus on cloud-native development, security, and modern product engineering practices. Working in cross-functional squads, they prioritise experimentation, continuous improvement, and delivering tangible value to users. The environment is dynamic, with a strong emphasis on collaboration across engineering, data, and business teams.
The Role and Deliverables
- Lead a cross-functional product engineering squad, providing technical and people leadership
- Drive delivery across areas such as membership, search, personalisation, and internal tooling
- Collaborate closely with product managers, designers, and stakeholders across data, legal, finance, and platform teams
- Set engineering direction and ensure best practices across cloud infrastructure and application development
- Enable the team to deliver against project goals within a three-month engagement
- Support clear communication and alignment across technical and non-technical stakeholders
Your Skills & Experience
- Strong experience leading engineering teams within product-focused environments
- Proven background working with TypeScript and Node.js in backend-leaning full-stack teams
- Deep familiarity with AWS environments, including infrastructure and deployment practices
- Experience with infrastructure as code, particularly Terraform and S3
- Strong understanding of agile delivery, including stand-ups and iterative development practices
- Experience working within marketplace, e-commerce, or similar fast-paced digital environments is highly beneficial
- Ability to operate effectively in ambiguous, rapidly changing environments
- Excellent communication skills, with experience engaging senior stakeholders across multiple functions
How to Apply
If you are an experienced Engineering Manager looking for a fast-paced contract where you can make an immediate impact, please apply with your latest CV.
To Apply for this Job Click Here
Data Modeller
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
DATA MODELLER
LONDON/HYBRID
UP TO £65,000
This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.
ROLES AND RESPONSIBILITIES:
The Data Modeller will:
- Design and develop conceptual, logical and physical data models for enterprise data platforms
- Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases
- Collaborate with data engineers, analysts and governance teams to ensure consistent data standards
- Support multiple projects and ensuring modelling best practices are embedded across delivery
- Contribute to the evolution of data architecture and helping define long term strategy
- Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience in data modelling across analytics or data platform environments
- Solid understanding of dimensional modelling techniques including Kimball or Data Vault
- Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure
- Exposure to tools such as Sparx Enterprise Architect or similar modelling tools
- Familiarity with technologies such as DBT, PySpark or Python is beneficial
- Interest in progressing into a data architecture focused role
- Ability to engage with both technical and non technical stakeholders
APPLY BELOW!
To Apply for this Job Click Here
GTM Operations Specialist
San Francisco
$100 - $110
+ Advanced Analytics & Marketing Insights
ContractSan Francisco, California
To Apply for this Job Click Here
This is a high-impact contract opportunity to shape the future of GTM operations within a cutting-edge SaaS environment. You will play a pivotal role in designing and driving operational transformation at the start of a major programme, working alongside senior technical and data leaders to enable AI-powered decision-making.
The Company
They are an innovative, fast-growing organisation operating within the SaaS and AI space, partnering with enterprise clients to deliver advanced transformation programmes. With a strong focus on data-driven strategy and operational excellence, they bring together expertise across AI, data science, and business operations. Their teams work closely with stakeholders to redefine processes and deliver scalable, forward-looking solutions in complex environments.
The Role and Deliverables
* Lead stakeholder workshops to uncover requirements and drive alignment on GTM operations processes
* Document current and future state processes, including building process maps and operational frameworks
* Own key areas such as quota planning, territory design, and capacity planning
* Translate business requirements into detailed specifications for AI-enabled workflows
* Partner closely with data and technical teams to ensure seamless implementation of solutions
* Support organisational change by guiding discussions on process evolution and transformation strategy
Your Skills & Experience
* Strong experience within Sales Operations, RevOps, or GTM Operations in a B2B SaaS environment
* Deep expertise in quota planning, territory design, and capacity modelling
* Proven ability to lead workshops and engage senior stakeholders effectively
* Experience producing clear, structured documentation and operational process designs
* Background in consulting or transformation environments, with the ability to drive impact in fast-paced settings
* Familiarity with tools such as Anaplan or Oracle EPM
* Confident communicator who can build relationships, influence decisions, and navigate change
* Experience supporting transformation initiatives, ideally with exposure to AI or advanced analytics programmes
To Apply for this Job Click Here
Product Analyst / Data Scientist
Leicester
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.
You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.
What you’ll be doing
- Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
- Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
- Design, run, and analyse A/B tests and experiments in partnership with product teams.
- Define and track meaningful product metrics; ensure consistent measurement across teams.
- Build and maintain core data products enabling self‑serve insights and faster product decisions.
- Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
- Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
- Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.
What you bring
Must‑haves:
- Strong SQL skills.
- 5+ years hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
- Experience running and evaluating A/B tests and experimentation frameworks.
- Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
- Strong storytelling ability, turning numbers into narratives
Good to have:
- Experience working with large‑scale customer behaviour datasets.
- Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
- Python/R/dbt exposure (not required).
Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.
The culture & offer
- A modern, data‑mature environment with over four million UK users and expanding globally.
- A product‑led organisation investing heavily in experimentation and user behaviour analytics.
- Private equity backing driving international expansion and new capabilities.
- Salary up to £90k depending on experience.
- Offices in London and Leicester – 1-2 days a week
To Apply for this Job Click Here
Technical Program Manager
San Diego
$250000 - $350000
+ Advanced Analytics & Marketing Insights
PermanentSan Diego, California
To Apply for this Job Click Here
Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus
I’m partnered with my client, a leading player in the financial services / lending space, who is scaling their AI capabilities to transform how they deliver credit solutions.
They are seeking a Technical Program Manager to lead execution across high-impact AI initiatives and drive modernization across their lending platform.
What You’ll Be Doing:
- Own delivery of AI-powered initiatives across underwriting, pre-underwriting, and sales workflows
- Build and manage end-to-end execution plans, including milestones and dependencies
- Collaborate with engineering and data teams on architecture and system integrations
- Ensure strong governance, auditability, and deployment processes
- Coordinate MLOps workflows, including model deployment and monitoring
- Act as the key liaison across technical and business stakeholders
What My Client Is Looking For:
- Proven experience in Technical Program Management (5-10 years)
- Track record delivering AI/ML systems or complex technical products
- Strong knowledge of cloud (Azure), APIs, and system integration
- Experience working with CRM platforms such as Salesforce
- Must have a financial services background (fintech, lending, or similar regulated environment)
- Strong problem-solving skills and ability to structure complex initiatives
Why Join:
- Join a business undergoing significant AI-led transformation
- Work on impactful initiatives improving customer experience and operational efficiency
- Collaborate with a forward-thinking team in a high-growth environment
If you’re interested in learning more, feel free to reach out directly.
Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus
To Apply for this Job Click Here
Technical Program Manager (AI)
San Francisco
$250000 - $350000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus
Technical Program Manager – AI Transformation | San Francisco (Hybrid)
I’m working with my client, a rapidly growing organization within financial services, who are investing heavily in AI-driven transformation across their lending platform.
They are looking for a Technical Program Manager (TPM) to play a key role in delivering end-to-end AI initiatives that modernize underwriting, sales, and core operational workflows.
What You’ll Be Doing:
- Drive execution of AI and machine learning programs from concept through production
- Translate business opportunities into structured technical delivery plans
- Partner closely with engineering, data science, and product teams
- Oversee system integration, architecture decisions, and delivery governance
- Lead coordination of AI model deployment, monitoring, and performance tracking
- Manage risks, dependencies, and rollout strategies in a regulated environment
What My Client Is Looking For:
- 5-10 years of experience in Technical Program Management or similar roles
- Strong experience delivering AI/ML or data-driven systems in production
- Expertise in APIs, cloud platforms (Azure preferred), and workflow orchestration
- Salesforce or CRM integration experience is highly desirable
- Financial services experience is essential (fintech, lending, or regulated industries)
- Ability to work across complex, cross-functional initiatives with strong stakeholder management
Why Join:
- Opportunity to shape a multi-year AI transformation strategy
- Work on cutting-edge systems driving automation and intelligent decisioning
- Be part of a high-impact team modernizing credit and lending operations
If you’re a technically strong TPM with a financial services background looking to work on meaningful AI transformation, I’d love to connect.
Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus
To Apply for this Job Click Here
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