ABOUT FUNDAMENTAL
Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
KEY RESPONSIBILITIES
- Design and implement cloud infrastructure from the ground up
- Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting
- Implement GitOps practices using ArgoCD for continuous deployment
- Develop infrastructure as code using Terraform
- Create and maintain CI/CD pipelines for infrastructure and application deployment
- Implement monitoring and observability solutions for distributed systems
- Automate infrastructure management with Python and Bash
- Collaborate with ML engineers to optimize infrastructure for model training and serving
- Implement and maintain cost optimization strategies (FinOps) for cloud resources
- Monitor and optimize cloud spending, especially for GPU-intensive workloads
MUST HAVE
- 5+ years of experience in cloud infrastructure and DevOps
- 3+ years of experience with Python
- Strong experience with AWS and GCP cloud platforms
- Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security
- Experience with GitOps tools (ArgoCD preferred)
- Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions
- Strong CI/CD expertise, preferably with GitHub Actions
- Proficiency in infrastructure as code (Terraform)
- Experience with monitoring and observability tools
- Experience with FinOps practices and cloud cost optimization
NICE TO HAVE
- Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
- Experience with FastAPI and Backend applications
- Familiarity with data platforms like Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
BENEFITS
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Listed by Fundamental for a position based in the United States. Employers on this board attest they are hiring domestically.
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
The Opportunity
Roles like this exist at very few companies. The data is rich enough, the domain is complex enough, and the moment is consequential enough to build something that has not been built before. You will own data intelligence, customer health, data governance, real-time signal detection, and an AI agent layer simultaneously, across the company.
Socure sits at a rare intersection: a company with one of the richest proprietary datasets in enterprise software, a platform that processes identity and fraud signals at massive scale in real time, a consortium of customers whose collective behavioral patterns reveal things no individual institution could see alone, and a growth trajectory that requires the intelligence infrastructure to match. The person who takes this role will build and operate the system that makes Socure as smart about itself as it is about the identities it verifies.
The scope is broad by design. You will own four interconnected intelligence layers: the business and investor observability platform that produces a single authoritative answer to any strategic question the company needs to answer; a customer health intelligence framework that monitors product adoption, model performance, and configuration hygiene across every account; a real-time signal intelligence system that detects fraud attack patterns and behavioral anomalies across the full customer base before any individual customer can see them; and an AI agent layer that makes all of it accessible to anyone in the company in plain language, in under 30 seconds. You will report to the Head of Platform Services and will have the organizational mandate, the executive sponsorship, and the technical resources to build this from the ground up.
If you have spent your career building pieces of this at different companies and have wanted to build the whole thing at once, at a company where the data is genuinely interesting and the stakes are real, this is that role.
What You Will Build
Business and Investor Intelligence
Socure has one of the most compelling growth narratives in enterprise software. Vertical diversification is accelerating. International transaction volume is growing rapidly. The land-and-expand model is working: second deals close in a fraction of the time it takes to close the first, and expansion revenue now outpaces new logo revenue. You will build the authoritative data foundation that makes every one of those stories produceable on demand, from a single source, with metric definitions that are version-controlled and enforced at the data layer. The goal is a state where any investor question gets a verified answer in seconds with zero definitional conflicts across teams.
Customer Health Intelligence
A Socure implementation involves more than 3,000 individual product settings and flags distributed across RiskOS, SuperAdmin, and Control Center. No other platform in our competitive set has built product configuration hygiene explicitly into a customer health scoring framework. You will build it. The full scoring model spans model freshness, use case breadth relative to potential, volume trend against commitment, engagement quality, and configuration hygiene, computed weekly across every active account, with automated alerting when trajectory changes. The output is a structured intervention system that lets Customer Success and Account Management act before a customer has decided anything.
Customer Signal Intelligence and Anomaly Detection
In 2025, deepfaked selfies increased 58% year over year. Injection attacks surged 40%. Native Virtual Camera attacks grew 2,665%. The fraud attack surface is expanding faster than any individual customer can track independently. Socure's consortium data makes cross-customer pattern recognition possible in a way no single-institution team could replicate. You will build the real-time monitoring system that detects population-level behavioral anomalies, model input and output drift, and emerging fraud attack signatures across the full customer base, and delivers a structured incident brief to the right customer contact within 15 minutes of onset.
The AI Agent Layer
This is the part of the role that will define it. You will build a natural language intelligence interface powered by AI agents that sits above all three pillars. Any employee, in any function, should be able to ask a business question in Slack and get a verified, sourced, accurate answer in under 30 seconds. The multi-agent pipeline you design will handle query understanding, data retrieval, verification, and answer synthesis, with answer accuracy tracked as a first-class system metric. Socure already launched an AI Suite of Agents in RiskOS for our enterprise customers in October 2025. The internal intelligence layer you build applies the same architecture philosophy to how we run the company. The lessons from building it will directly improve the external product.
What We Are Looking For
You have built data platforms that operate at scale and you understand the full stack from ingestion and transformation to semantic layer and consumption. You are AI-native in the truest sense: agents and LLM-powered reasoning are core architectural instincts for you, not bolt-ons. You are as comfortable in a board prep session as you are in a technical design review, and you can move fluidly between those contexts without losing credibility in either.
You understand that the hardest part of this job is not the technology. It is the governance: getting a fast-moving organization to agree on canonical definitions and holding the line on them when the business wants to move faster than the data model can follow. You have done that before and you know what it takes.
Required
12+ years of engineering experience including significant time building or operating large-scale data platforms, data warehouses, and analytics infrastructure
5+ years leading engineering teams with company-wide scope and impact
Track record building enterprise data platforms at scale spanning transactional, CRM, and billing source systems
Deep fluency with modern data stack architecture: cloud data warehouses, data mesh and medallion patterns, semantic and metrics layers
Hands-on experience shipping AI agent systems including multi-agent orchestration, RAG pipelines, and LLM-powered natural language interfaces
Strong instincts around statistical process control, anomaly detection, and real-time streaming architectures
Data governance depth: metrics catalogs, lineage, ownership models, and version-controlled metric definitions
Experience translating board-level and investor-level business questions into data architecture requirements
Excellent communication skills with the ability to move fluidly between technical design and executive stakeholder conversations
Preferred
Deep experience with AWS data services including S3, Glue, Athena, Redshift, Lake Formation, EMR, Kinesis, and Lambda
Familiarity with modern data stack tooling such as dbt, Airflow, Spark, Fivetran, Databricks, SageMaker Unified Studio, or similar
Experience partnering with Finance and FP&A teams on revenue recognition, ARR/NRR analytics, and usage-based billing reconciliation
Experience supporting investor reporting, board reporting, or capital markets readiness in a high-growth SaaS environment
Background in fintech, identity verification, fraud, or similarly high-stakes data domains
Prior experience building data platforms that support regulated financial workflows including SOC 2, PCI or similar compliance regimes
Prior experience in usage-based or consumption-based SaaS
We have one of the most powerful datasets in enterprise software. We have the scale, the domain, and the architectural foundation to do something genuinely interesting with it. This role is how we do that.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
Senior Product Manager, Data Platform
Location
United States
Employment Type
Full time
Location Type
Remote
Department
Product
Overview
Application
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
We’re looking for a leader with a technical background and deep understanding of data to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution.
While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams.
In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption.
Responsibilities:
Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.
Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.
Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.
Requirements:
5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform.
Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).
Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.
Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.
Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.
Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.
A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.
Salary Range:
$180,000/year - $230,000/year + equity + benefits
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
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Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
We’re looking for a leader with a technical background and deep understanding of data to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution.
While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams.
In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption.
RESPONSIBILITIES:
- Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.
- Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
- Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
- Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
- Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
- Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
- Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.
- Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
- Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.
REQUIREMENTS:
- 5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform.
- Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).
- Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
- Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.
- Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.
- Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.
- Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.
- A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.
SALARY RANGE:
- $180,000/year - $230,000/year + equity + benefits
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
THE 4 BIGGEST BLOCKCHAIN STRENGTHS ARE ALSO ITS WEAKNESS
- Permissionless nature leads to fragmentation of meaning
- Decentralization leads to too many standards https://xkcd.com/927/
- Immutability leads to exponential data + query infrastructure complexity
- Neutrality means that no one is accountable for interpretations
Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL.
BLOCKCHAINS ARE OPTIMIZED FOR WRITES, NOT READS.
They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases https://x.com/Tim_Roughgarden/status/1512847113599729668. Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result:
- Fragmented standards
- Exponential complexity
- No accountability for interpretation
- Events without economic meaning
Finance cannot operate on that, it needs an effective system of record.
ALLIUM IS BUILDING THE SYSTEM OF RECORD FOR ONCHAIN FINANCE
Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record:
- Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income
- Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema
- Infrastructure Gap: Read optimized, globally distributed data at web scale
- Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance
The result is a neutral, canonical data layer institutions can build on with confidence.
FINANCE IS MOVING ONCHAIN
Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role.
As AI agents begin transacting autonomously https://x.com/AlliumLabs/status/2019810793324482901?s=20, the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability.
Allium is the read layer that makes onchain finance usable for humans and machines.
WHO WE SERVE
Allium powers three core personas with the same canonical data foundation:
1. Finance, Accounting, and Risk Teams They need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators.
2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break.
3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain.
And of course...agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve.
What You’ll Learn
- How petabyte-scale data infrastructure works - Allium manages 5+ petabytes across every combination of cloud provider x data warehouse (Snowflake, BigQuery, Databricks...) x region. You'll pick up how these systems are designed, where they break, and how to reason about freshness, cost, and correctness tradeoffs between them.
- How to build AI-native support - Tickets that feed runbooks; runbooks that support agentic skills; an agentic loop that builds on itself and compounds - You will learn how to build an AI-native support system that scales.
- How to manage expectations with institutional customers (banks, asset managers, exchanges, foundations) - What incident management best practices look like in production, how to communicate during a data incident, how to set an SLA you can actually keep, and how to thread the needle when two customers' expectations conflict.
- How 100+ blockchains work under the hood - Resolving a ticket often means tracing a number back to raw on-chain data - why a stablecoin supply figure differs between two sources, why a balance snapshot lags, what a reorg does to a table. You'll build genuine depth in EVM, Solana, and the long tail of chains.
- How enterprise data delivery works end to end - warehouse-native shares, APIs, Kafka streams, push vs pull. You'll learn to pick the right mechanism for a customer's problem, because half of support is knowing where in the product the answer already lives.
- How to run a data quality investigation - verification checks, cross-source reconciliation, and separating "the data is wrong" from "the query is wrong" from "the chain did something unusual."
- A path into becoming an Allium Data Wizard https://jobs.ashbyhq.com/allium/6ad02951-721e-48a6-8a95-95a9139393a9, if that's where you want to go. Every Wizard at Allium started on the frontlines; we believe staying close to customers and their use cases is how you learn the data best. This role builds exactly those skills: tracing numbers back to raw on-chain data, debugging SQL at scale, learning protocol mechanics.
What You’ll Do
- Troubleshoot and resolve complex customer issues involving SQL queries, data pipelines, API integrations and other Allium Integrations (e.g. kafka)
- Mapping customer issues to where the solution exists in Allium. Be it a table in the dataset, another delivery mechanism, relevant documentation, another integration pattern (e.g. push vs pull)
- Help customers diagnose problems in their data sources (Snowflake, BigQuery, Postgres, etc.) and optimize performance.
- Collaborate with engineering to investigate bugs, identify patterns, and ship fixes.
- Develop internal tools and scripts to automate troubleshooting and improve customer response times.
- Write clear documentation and knowledge base articles for customers and internal teams.
- Partner with the GTM and product teams to translate customer pain points into actionable insights.
- Participate in daily syncs to discuss ongoing issues, progress, and improvements.
- Synthesize all of the above into an AI-native system that builds leverage.
- Triage and prioritize incoming issues against customer SLAs — distinguishing a P1 data incident for an institutional customer from a routine query question, and sequencing your work so the highest-impact problems get resolved first.
What You’ll Bring
- Fluency in AI tools, common failure modes and modern practices.
- Fluency in SQL - you can confidently write, optimize, and debug complex queries.
- Experience providing technical support for a SaaS or data product.
- A working knowledge of blockchain data primitives across ecosystems like Solana and EVM chains.
- Familiarity with APIs, data connectors, and ETL tools.
- Comfort with scripting or automation in Python, Bash, or similar languages.
- Strong understanding of Linux environments and command-line tools.
- Excellent communication and documentation skills — you can explain complex concepts simply.
- A proactive, empathetic approach to customer relationships.
- The ability to work independently and take full ownership of issues from report to resolution.
Bonus Points
- Experience with data warehouses (Snowflake, BigQuery, Redshift) or BI tools.
- Exposure to infrastructure-as-code tools (Terraform, Ansible, etc.).
- Experience in debugging API or integration issues across cloud environments.
- Familiarity with data modeling or transformation frameworks (dbt, Airbyte, etc.).
- Experience with message queues and event buses (Google Pubsub, Kafka etc)
DON'T TAKE OUR WORD FOR IT, WHAT OUR CUSTOMERS SAY ABOUT US (HTTPS://WWW.ALLIUM.SO/BLOG#LOVE) https://www.allium.so/blog#love
[https://app.ashbyhq.com/api/images/user-content/2f62de56-0dd0-4792-90f8-069c5cb51068/585a3023-4036-4ec0-af76-ed3198f80890/image.png]
WHAT SOME COOL PEOPLE HAVE TO SAY ABOUT US:
- The Information's Top 50 Startups (https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-of-2025)
- Mario Gabriele from The Generalist's Future 50 Startup List: https://www.allium.so/post/allium-named-awardee-of-the-generalists-inaugural-future-50-startups
- Tomasz Tungus from Theory Ventures: https://tomtunguz.com/allium/
- Bucky Moore from Kleiner Perkins: https://www.kleinerperkins.com/perspectives/allium-series-a/
OK, NOW FOR SOME TOUGH LOVE. HERE ARE THE VALUES WE STRIVE FOR AT ALLIUM:
- Obsessiveness - The best people at Allium cannot put a problem down once they pick it up. We care more about the work than is strictly rational. Institutions trust us because our data is right. Right means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that matters. The query that runs in 4 seconds when it should run in 400 milliseconds. Most companies tolerate these. We do not.
Obsessiveness shows up as depth of care. It is not measured in hours worked or visible effort. You should feel something physical when work ships half-right. That instinct is what we hire for.
- Pro Athlete Mindset - Consistency. Day in and day out, in pursuit of excellence. A win yesterday does not guarantee (or even imply!) a win tomorrow. I hope anyone who supports a failing sports team will feel the pain (cough Man United fans) of inconsistency
- Figure It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new legal docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, find someone or a product that does it. If you can’t find someone, find someone who can find someone. It is never a lack of resources, but lack of resourcefulness.
- High Agency - (One of) the highest commonalities between all successful people is their responsiveness. Most successful billionaire CEOs still reply to emails within minutes (within working hours). And when you reply, respond fast with effective solutions - and even better, resolutions. If you’re looking for a superpower, you can’t go wrong with responsiveness. Well of course this doesn't make sense when you're an engineer coding in flow, but in general high agency of problem solving gets one very far in life
- Leading from the Front - No one is going to listen (and adopt) your suggestion unless you lead by example. It’s one thing to say We need to do XYZ this better & it’s another thing to build an MVP and say “This is the way we should do things”. The proof of work and momentum goes a long way.
- Strong Opinions On the Future (loosely held) - It is okay to be wrong, but what is not okay is not to have an idea of how a better future should be. Alliumites take pride in trying to improving everything about the company all the time.
- Sense of (Allium) business smell - There are number of folks who live to eat at Allium, but the Allium smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds leverage for their teammates and also relates to the business goals
ABOUT THE TEAM
We invite people of all backgrounds (https://www.allium.so/about). We have engineers who learnt coding much later in life, who learnt coding on the side, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, Stanford, UIUC, UPenn, Oxford, NUS, Cornell), all are welcome if one comes in with a curious mind and an infectious work ethic.
[https://app.ashbyhq.com/api/images/user-content/2f62de56-0dd0-4792-90f8-069c5cb51068/68e40347-6f06-4fcd-a99a-68f539058433/allium%20team%20montage.jpeg]
[https://app.ashbyhq.com/api/images/user-content/2f62de56-0dd0-4792-90f8-069c5cb51068/1d38ca35-e23a-4c10-9a8f-8a79993c8cb3/image.png]
ADMINISTRATIVE BENEFITS
- Medical, Dental, Vision, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents
- Ownership - Meaningful early-stage equity. Every full-time employee receives a stock option grant so you can share directly in Allium's upside
- Time off - Flexible, trust-based paid time off. We encourage people to take the rest they need. In every country we hire, our policies meet or exceed local statutory vacation requirements
- Retirement - Company sponsored 401(k) plan in US so you can save pre-tax for the long term
Note: The sun never sets on Allium - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in New York, Seattle, Singapore and Australia.
All applicants have to answer this pop quiz: "What is an Allium? What is your favorite Allium? https://www.allium.so/post/how-allium-got-its-name". Bonus points for the right pronunciation.
Listed by Allium for a position based in the United States. Employers on this board attest they are hiring domestically.
ABOUT RAD AI
At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission.
If you’re ready to shape the future of healthcare, we’d love to have you on our team!
Why Join Us?
We're looking for a Staff Machine Learning Research Scientist to help define and drive Rad AI's next generation of applied research in NLP and clinical AI.
We work across LLMs, retrieval, representation learning, speech and multimodal modeling, and we care as much about evaluation and reliability as we do about state-of-the-art results. You will have scope, ownership, and a direct line from research to product.
You'll collaborate closely with clinicians, engineers, and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike. As we grow, you will help shape standards for model quality, safety, and observability, and contribute to strategic initiatives that include computer vision and vision-language work.
What You'll Do:
- Own end-to-end applied research: frame the problem, design experiments, ship to production, and monitor impact against real-world metrics.
- Set technical direction across LLMs, retrieval, and multimodal; run ablations/error analysis that change product decisions.
- Build evaluation that matters: link offline metrics to online outcomes; define thresholds, monitoring, and rollback.
- Partner to deliver with engineering and product—and, when relevant, clinicians/domain experts—to align data, success criteria, and timelines.
- Raise the bar by mentoring peers and codifying standards for reliability, safety, and documentation.
- Improve the platform (data, training, serving, observability) to speed iteration and ensure reproducibility.
- Explore new directions, with computer vision/vision-language work as a nice-to-have for future strategic initiatives.
What We're Looking For:
- MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field.
- 7+ years of applied ML research experience (or PhD + 5 years, or equivalent evidence of Staff-level impact).
- Depth in one or more areas: LLMs and NLP, computer vision, speech, recommendation/ranking, retrieval, or multimodal modeling.
- Strong experimental rigor: clear hypothesis framing, offline→online linkage, calibration and stratified analyses, ablations that influence decisions.
- Proven ability to take models to production
- Hands-on with modern tooling: PyTorch and common experiment/ops tools (for example MLflow, Databricks, Ray, or similar).
- System thinking: can choose methods based on constraints, design for observability and rollback, and document decisions clearly.
- Collaborative communicator who writes crisp design docs and explains complex ideas to non-specialists; comfortable mentoring peers.
Preferred Qualifications
- Health data familiarity, including EHR or imaging
- Experience in one or more areas: clinical NLP or LLMs, computer vision, speech, retrieval or multimodal modeling.
- Shipped, measured models in production with monitoring and clear rollback; external or multi-site validation is a plus.
- Workflow integration with EHR, RIS, PACS, or reporting systems; PowerScribe or Dragon exposure helpful.
- Strong evaluation practices: calibration, slice analysis, and ablations
- Safety and governance in sensitive domains, including PHI handling and HIPAA or FDA-adjacent environments.
- Technical mentorship and contributions to team research culture; publications or impactful open-source work.
- Practical tooling: PyTorch plus modern ML ops tools such as MLflow, Databricks, Ray, or Triton.
Why This Matters:
Radiologists are the invisible backbone of modern medicine. Every diagnosis, every surgery, every treatment plan begins with their interpretations. Yet they're often overwhelmed by cognitive load, repetitive tasks, and administrative overhead.
At Rad AI, we're using ML to change that—building intelligent systems that understand medical context, streamline documentation, and amplify human expertise.
You've already seen how AI can transform healthcare. Now help us push it further.
Join us in shaping how AI supports the next generation of medical professionals.
We welcome applicants from across the United States, with a preference for this role to be based in our new San Francisco office.
Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!
To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date!
For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:
- Comprehensive Medical, Dental, Vision & Life insurance
- HSA (with employer match), FSA, & DCFSA
- 401(k)
- 11 Paid Company Holidays
- Flexible PTO policy
- Annual company-wide offsite
- Periodic team offsites
- Annual equipment stipend
- For roles based outside the US, your recruiter can share more details
At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.
Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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