1,463,766open jobs
89,094companies
225,513added this week
Browse all
Salary
$180k – $220k per year
Location
Hybrid (New York, United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 8, 2026.

Overview
Company
Impact
Profile match
Causaly is the fastest way to find evidence, explore hidden connections and make new predictions in biomedical science. The company provides AI-powered software for reading medical information.

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:

In this role, you will be a key contributor to Causaly’s revenue growth while inspiring change as a market game-changer. Reporting directly to our SVP Sales, you will work cross-functionally to build customer value and drive new business. You will have global ownership of the full lifecycle of a portfolio of top 50 global pharma enterprise customers. You will be pivotal to understand our client’s strategy, relate to the executive level and navigate our resources and capabilities to the “best fit”.

Importantly, this is a role for someone who has built their career in strategy consulting within Life Sciences. We are looking for a former Engagement Manager (or above) who has advised pharma leadership on R&D, clinical development or commercial strategy, and who now wants to own long-term client partnerships rather than discrete projects. Commercial ownership matters here, but it sits on top of consulting-grade problem solving, not in place of it.

What you will do:

  • Become a trusted advisor in the AI Pharma sector to existing and target Causaly clients

  • Leverage your existing industry network to open early discussions and get critical customer insights

  • Establish relationships at senior call points in Top 50 Pharma and work to develop and qualify interest in use cases and business challenges that Causaly can address

  • Drive new business for Causaly Cloud platform solution, selling into the existing client base and prospective new clients across North America, focused on the Top 30 clients.

  • Strategically understand the needs, limits, must haves, and key landmines in the accounts and guide the go to market teams in execution

  • Develop an understanding of assigned clients’ strategic goals, decision-making structure, key influencers, and other objectives while mapping Causaly impact through both today’s offerings and tomorrow’s potential

  • Liaise with Product to refine Product Market Messaging and contribute customer and market feedback about future business opportunities and current product experience.

  • Become a champion for the Causaly Platform with ability to deeply discuss the value across any given product in the solution.

  • Strategically orchestrate resources both internally and externally throughout the sales process

  • Accurately communicate account status to executive Causaly management (COO, CEO etc.)

What you need to succeed:

  • A strategy consulting background in Life Sciences, gained at a top-tier or specialist life sciences consultancy (for example McKinsey, BCG, Bain, L.E.K., ZS, IQVIA, Charles River Associates, Putnam or Clearview), or in the in-house strategy function of a major pharma company

  • Progression to Engagement Manager level or above, or the equivalent grade at your firm (Project Leader, Manager, Associate Principal, Principal, Partner)

  • A track record of owning senior client relationships and leading complex, multi-stakeholder engagements with pharma clients

  • Experience in engaging with scientific (R&D, Clinical Development), technical and economic buyers and decision-makers up to C-Suite in global 30 Pharma

  • Consultative selling skills (questioning, listening, handling call dynamics, managing objections, closing for next steps)

  • Experience selling into Big Pharma & Biotech space

  • The ability to work in partnership with Strategic Account Executives to develop opportunities and sell the value of the Casualy Cloud platform

  • Make sure that our clients and prospects understand and perceive the full value of our products while acting as a trusted voice in articulating Causaly positioning

  • Experience leading strategic, long-term sales cycles within the biopharma sector

  • Strong presenter, both in person and virtually

A note on background: strategy consulting experience in Life Sciences is a firm requirement for this role.

Benefits

Competitive compensation package

Personal development budget

Individual wellbeing budget

Your birthday off!

Unlimited time off

12 weeks paid parental leave (after 6 months)

Potential to have real impact and accelerated career growth as a member of an international team that’s building a transformative AI product.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,463,766 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Sales
Similar stack
Same company
New York
In office • Portland
Apply
In office • Bachelor's Degree • Phoenix
Apply
In office • Bachelor's Degree • Fremont
Apply
In office • Bachelor's Degree • Cleveland
Apply
In office • Bachelor's Degree • Tampa
Apply
≈ $98k – $237k per year (Estimated) • Hybrid • 8+ years exp • Geneva
Python
SQL
Databases
Snowflake
Databricks
AI/ML
Spark
Knowledge Graph
DevOps
Terraform
GCP
Azure
AWS
AWS Lambda
Cybersecurity
SonarQube
Analytics
ETL/ELT
Informatica
Data Vault
Dimensional Modeling
Apply
AI/ML Engineer 1 day ago
Hybrid • 3+ years exp • Bachelor's Degree • Budapest
Python
Databases
Databricks
AI/ML
Spark
Model Context Protocol
MLFlow
Fine-tuning
Prompt Engineering
AI Agents
NLP
Kubeflow
LLM
RAG
Semantic Search
Semantic Search
Knowledge Graph
Multi-Agent Systems
DevOps
Terraform
GCP
Azure DevOps
GitHub Actions
Azure
CI/CD
Analytics
Azure Data Factory
Apply
Hybrid • 3+ years exp • Bachelor's Degree • Szeged
Python
Databases
Databricks
AI/ML
Spark
Model Context Protocol
MLFlow
Fine-tuning
Prompt Engineering
AI Agents
NLP
Kubeflow
LLM
RAG
Semantic Search
Semantic Search
Knowledge Graph
Multi-Agent Systems
DevOps
Terraform
GCP
Azure DevOps
GitHub Actions
Azure
CI/CD
Analytics
Azure Data Factory
Apply
≈ $98k – $229k per year (Estimated) • Remote (India) • 10+ years exp
Python
AI/ML
LangChain
Prompt Engineering
Chain-of-Thought
AI Agents
Semantic Kernel
LLM
RAG
Hybrid Search
OpenAI
Google AI Studio
Knowledge Graph
Multi-Agent Systems
Machine Learning
DevOps
Azure
AWS
Apply
Hybrid • 10+ years exp
Python
AI/ML
LangChain
Prompt Engineering
Chain-of-Thought
AI Agents
Semantic Kernel
LLM
RAG
Hybrid Search
OpenAI
Google AI Studio
Knowledge Graph
Multi-Agent Systems
Machine Learning
DevOps
Azure
AWS
Apply
$240k – $270k per year • Hybrid • Full-Time • New York
AI/ML
AI Agents
Knowledge Graph
DevOps
GCP
Azure
AWS
Apply
$140k – $170k per year • Hybrid • Full-Time • 5+ years exp • London • New York
AI/ML
Knowledge Graph
Marketing
HubSpot
Apply
≈ $171k – $299k per year (Estimated) • Hybrid • Full-Time • London
Python
JavaScript
TypeScript
Node JS
Python
FastAPI
Databases
PostgreSQL
Redis
ElasticSearch
AI/ML
LangGraph
LangChain
Fine-tuning
Langfuse
LLM
OpenAI
Structured Outputs
Knowledge Graph
LLM Guardrails
Machine Learning
Frontend
GraphQL
React.js
Zod
DevOps
Terraform
GCP
GitHub Actions
OpenTelemetry
Datadog
Azure
ArgoCD
Git
Docker
Kubernetes
Apply
≈ $105k – $208k per year (Estimated) • Hybrid • Full-Time • London
Python
JavaScript
TypeScript
Node JS
Python
FastAPI
Databases
PostgreSQL
Redis
ElasticSearch
AI/ML
LangGraph
LangChain
Fine-tuning
Langfuse
LLM
OpenAI
Structured Outputs
Knowledge Graph
LLM Guardrails
Machine Learning
Frontend
GraphQL
React.js
Zod
DevOps
Terraform
GCP
GitHub Actions
OpenTelemetry
Datadog
Azure
ArgoCD
Git
Docker
Kubernetes
Apply
Senior AI Engineer 7 months ago
≈ $121k – $222k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Master's Degree • London
Python
AI/ML
LangChain
Fine-tuning
Embeddings
Prompt Engineering
AI Agents
NLP
TensorFlow
PyTorch
LLM
LLMOps
Knowledge Graph
LLM Guardrails
Interpretability
DevOps
CI/CD
Management
Slack
Apply
$163k – $210k per year • In office • Full-Time • New York • Boston
Apply
$40k – $44k per year • In office • New York
Apply
≈ $254k – $463k per year (Estimated) • In office • New York
Mobile
PassKit
Apply
iOS Engineer - Wallet 3 hours ago
≈ $202k – $414k per year (Estimated) • In office • New York
Apply
≈ $168k – $390k per year (Estimated) • In office • New York
Apply
See all jobs
This is one of many
1,463,766 more open roles from verified company boards, updated every day.