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Added just now
Principal Machine Learning Engineer
Vail Resorts
VT
Experience with AI engineer to use, build, and monitor agentic solutions
Added just now
Senior Director Software Engineering
Capital One
Montpelier, VT
As a Senior Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 1 min ago
AI/ML Engineer Intern
Intermountain Health
Montpelier, VT
Build and deploy machine learning models on the Unified Enterprise Agentic Architecture (UEAA).
Added 1 min ago
Product Security Engineer - Team Lead
Meta
Montpelier, VT
…tooling, and ship secure-by-design product functionality for our agentic products and family of…
Added 1 min ago
Product Content Engineer
Meta
Montpelier, VT
…experiences actually work for people.We're looking for a Content Engineer who will partner with Meta’s agent tooling team to define model quality standards and target behaviors for Meta’s…
Added 1 min ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Montpelier, VT
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 7 mins ago
AE
Sr AI Engineer I - Agentic- Travel & Lifestyle Services Technology
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
As a Senior AI Engineer I – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial…
Added 7 mins ago
AE
Agentic AI Infrastructure Engineer II - Core Platforms
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
The AI Infrastructure Engineer is responsible for designing, implementing, and maintaining robust, scalable, and efficient infrastructure solutions that support AI-enabled workloads. This…
Added 7 mins ago
AE
Senior Agentic AI Engineer - Core Platforms
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
The Evaluation Engineer designs, develops, and maintains evaluation frameworks for AI and machine learning solutions, including LLM, RAG, agentic, and multimodal applications. This role…
Added 7 mins ago
AE
Senior Agentic AI Infrastructure Engineer I - Core Platforms
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
The AI Infrastructure Engineer collaborates with application and platform teams to design, implement, and optimize secure, scalable infrastructure solutions for AI-enabled workloads. This…
Added 8 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Phoenix, AZ
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 11 mins ago
Principal Solution Architect
Chevron Technical Center (a Chevron U.S.A. Inc. division)
Houston, TX
Experience designing and delivering enterprise AI and agentic solutions using Microsoft Foundry, agent frameworks, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and…
Added 18 mins ago
Principal Machine Learning Engineer
Vail Resorts
WY
Experience with AI engineer to use, build, and monitor agentic solutions
Added 19 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Cheyenne, WY
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 27 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Trenton, NJ
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 40 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Providence, RI
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 56 mins ago
Forward Deployed Engineer - AI & Trading
BP PLC
Remote, United States
As a Forward Deployed Engineer, you'll work alongside traders and commercial teams to turn ideas into reliable AI-enabled tools. You'll combine hands-on engineering with close user…
Added 1 hour ago
Principal Machine Learning Engineer
Vail Resorts
PA
Experience with AI engineer to use, build, and monitor agentic solutions
Added 1 hour ago
Director, IT Engineering, Data and Analytics
TAIT Towers
Lititz, PA
Build reusable TAIT Intelligence Layer services using retrieval-augmented generation (RAG), governed tools and agentic orchestration for quoting, engineering reuse, project forecasting and…
Added 1 hour ago
Senior, Full Stack Engineer
GlaxoSmithKline LLC
Philadelphia, PA
…decide how that context reaches users. The Senior Full Stack Engineer leads the design and delivery of a significant AI product area, spanning modelling workflows and user-facing…
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Harrisburg, PA
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
TT
Staff Full-Stack Engineer, Core Application
True Talent Solutions Partners
Oakland, CA
- $240,000 to $275,000 USD / year
…development. You will help bring core systems of record and agentic AI into a shared interface used by scientists in the materials and chemicals…
Added 1 hour ago
Principal Machine Learning Engineer
Vail Resorts
NV
Experience with AI engineer to use, build, and monitor agentic solutions
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Carson City, NV
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind
DeepMind
Mountain View, CA · New York, NY · San Francisco, CA
…stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into…

Causaly

Strategy & Solutions Lead

New York, NY, United States

$180,000 to $240,000 USD / year

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Job details

Pay: $180,000 to $240,000 USD / year
Posting language: English
Posted: Nov 3, 2026

Original job description

About us:

Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes.

We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making.

Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence.

About the role

Causaly is hiring a Strategy and Solutions Lead to incubate and validate new growth opportunities at the intersection of AI, data, product, and our pharma and biotech customers across R&D and commercial functions.

This role focuses exclusively on new territory - new capabilities, solution lines, integrations, or market segments - where customer demand goes beyond what our product supports out of the box. The mandate is to turn ambiguous enterprise demand into scalable, repeatable solution plays grounded in real pharma workflows, drive executive decision-making, and then hand those plays into BAU teams once validated.

You will work directly with Causaly’s executive leadership and lead discussions with senior stakeholders across pharma R&D and commercial functions, as well as their data and technology teams, to shape strategic partnerships, solution architecture, and product decisions. You will operate with significant autonomy, owning opportunities from the first strategic conversation through to executive decision and handoff.

Key responsibilities

Own strategic “new territory” decisions

Own intake and shaping of strategic enterprise opportunities that require new capabilities, integrations, packaging, or market positioning.
Drive executive decisioning on whether to pursue, park, or decline opportunities, with clear rationale, options, and business and technical implications.
Maintain a clear boundary between incubation work and BAU; ensure this team is only engaged where something new must be created.

Lead senior R&D and commercial conversations and translate demand into scalable solution paths

Lead high-stakes discussions with senior stakeholders across pharma R&D (e.g. Discovery, Translational Science, Clinical Development) and commercial functions (e.g. Portfolio Strategy, New Product Planning, Medical Affairs, Market Access).
Ground discovery in customers’ end-to-end workflows and decision points (e.g. target identification and validation, Target Product Profile development, candidate selection, indication expansion, lifecycle management) to define target state, success criteria, and constraints.
Translate ambiguous asks into a solution concept and delivery path, including where Causaly creates value in the workflow, scope boundaries, sequencing, timelines, risks, dependencies, and mutual commitments.
Shape expectations and commercial framing to ensure scalable commitments (what is standard, what is configurable, what requires investment, and what is out of scope).

Design and steer technical solutions

Work with customer architecture, data, IT, and AI teams in working-level depth on Causaly’s platform capabilities, APIs, data model, and integration patterns (e.g. with internal data lakes, knowledge management systems, and enterprise AI tooling), going beyond high-level positioning to a solution design both sides can build against.
Drive the solution design for new plays, including integration approach, data flows, security, and deployment model, and work alongside Causaly’s Engineering and Data teams through build, testing, and deployment, without being the engineer writing production code.
Pressure-test technical feasibility early: review architectures, spot integration and data risks, and make informed calls on what can be configured, what needs to be built, and what effort it will take.
Shape and evaluate technology partnerships (e.g. data providers, cloud and AI platforms, systems integrators), including strategic rationale, technical fit, integration approach, and joint solution design.
Represent Causaly’s platform and roadmap credibly in executive and technical forums, clearly positioning what the platform does today, what is configurable, and where it is heading.

Build repeatable solution playbooks (incl. Private Data & integrations)

Turn recurring demand into solution playbooks anchored in specific R&D and commercial workflows, including:
Offering definition, use cases, and packaging
Qualification and fit criteria
Scoping templates and success plans
Delivery blueprints, reference architectures, and enablement assets
Standardise complex offerings (e.g. Private Data, enterprise integrations, and AI workflows on customer data) into productised motions with clear patterns, governance, and pilot-to-rollout pathways.
Partner with Product, Engineering, and Data to define feasibility options and reference architectures, and surface clear product and investment recommendations.

Validate plays through lighthouse execution

Co-sponsor a small number of lighthouse opportunities with Sales to validate new solution plays.
Orchestrate early cross-functional work (pilot design, governance, decisioning) with the explicit goal of making the play transferable and repeatable, not owning delivery long-term.

Institutionalise and hand off into BAU

Drive clean handoff of validated plays into BAU (Sales, CS, Delivery, Product), including training, assets, decision trees, and ownership clarity.
Maintain a structured feedback loop into Product on product candidates, investment needs, and learned constraints from enterprise demand.

What we’re looking for

Computer science or engineering background (e.g. advanced degree in computer science, computer engineering, or a related field).
7+ years’ experience at the intersection of life sciences strategy and AI/data science, with a track record of leading discussions with senior IT, R&D, and commercial stakeholders in pharma and shaping ambiguous asks into scalable solutions.
Strong fit from one of the following backgrounds:
Life science strategy and/or AI consulting at Engagement Manager / Associate Partner level, with substantial R&D or commercial work and ownership of AI or data programmes from strategy through to scale-up
Enterprise Solutions / Solutions Strategy roles in B2B SaaS serving pharma and biotech, particularly in AI-, data-, or platform-heavy products
Strong understanding of end-to-end pharma R&D and commercial workflows and the decisions within them (e.g. target identification, Target Product Profile, candidate selection, indication expansion, launch and lifecycle planning), and of how data and AI can change them.
Hands-on experience building, deploying, and/ or integrating technology solutions in enterprise settings (e.g. data platforms, AI and LLM applications, API and system integrations). You have been close enough to the build to understand how a solution works, not just what it does, and have seen solutions through to production.
Ability to read and challenge solution architectures, reason through data pipelines, APIs, and integration patterns, and understand how AI and LLM systems are built and evaluated (e.g. retrieval-augmented generation, agentic workflows, knowledge graphs).
Experience turning complex, bespoke-seeming enterprise demand into repeatable playbooks (qualification criteria, scoping frameworks, pilot design, and BAU handoff).
Strong judgement in making and defending pursue / park / decline recommendations based on product direction, feasibility, scalability, and business impact.
Comfort driving executive decisioning (internally and on the customer side) across Product, Engineering, and GTM, and translating technical trade-offs into clear business choices.

Nice to have

Experience on AI or GenAI programmes in pharma, from use-case definition through to scaled deployment.
Prior experience in a technical capacity (e.g. forward deployed engineer, data scientist, software engineer, technical product manager)
Familiarity with enterprise data governance in regulated environments (e.g. GxP, data privacy, information security reviews).
Exposure to market expansion, new segment GTM, technology partnerships, or solution incubation.

We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.

Apply on jobs.ashbyhq.com About employer

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Skills

Biomedicine
Decision making
Packaging
Workflow
Sales

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Work requirements

Jobs in the United States