The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

Compliance at Brex

The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.

What you’ll do

As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team.  You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment. 

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
• Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
• Take ownership of the success of our internal controls, spot and scope opportunities for improvement
• Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
• Support vendor integrations and address questions from L1 alert reviewers

Requirements

• 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
• Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
• Technical aptitude in understanding complex money movement across payment methods and rails
• Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
• Familiarity working with AI tools
• Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)

Bonus points

• CAMS Certified 
• Experience using various transaction monitoring systems
• Insatiable curiosity
• Eagerness to learn
• Detail oriented
• Desire to build

Compensation

The expected salary range for this role is $86,784 - $108,480.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Compliance at Brex

The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.

What you’ll do

As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team.  You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
• Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
• Take ownership of the success of our internal controls, spot and scope opportunities for improvement
• Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
• Support vendor integrations and address questions from L1 alert reviewers

Requirements

• 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
• Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
• Technical aptitude in understanding complex money movement across payment methods and rails
• Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
• Familiarity working with AI tools
• Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)

Bonus points

• CAMS Certified 
• Experience using various transaction monitoring systems
• Insatiable curiosity
• Eagerness to learn
• Detail oriented
• Desire to build

Compensation

The expected salary range for this role is $86,784 - $108,480.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

This position does not offer visa sponsorship now or in the future.

We’re looking for an Analytics & Business Intelligence, AVP to measurably drive growth for our Operations and Investment Management (OIPM) group at iCapital.

This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change.

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and will work closely with our Data Engineering group. Although you are initially expected to be an individual contributor, the role would eventually entail managing a team of 1-3 direct reports.

On the technical side, you will interface with our data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau (among others). On the business side, you will work with our operations teams to produce management visibility, efficiency improvements and workflow automation.

Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

Responsibilities:

• Write SQL within dbt to extract, transform, validate, and aggregate data.
• SQL / DBT - 50%; Tableau/PowerBI - 30%; Python - 20%
• Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis
• Monitor and deploy data pipelines into our orchestration infrastructure using Prefect
• Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and finally presenting on results
• Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
• Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field
• 4 to 8 years of experience in a data-related role
• Excellent writing, communication and presentation skills
• Excellent knowledge of SQL (dbt experienced preferred)
• Good knowledge of a business intelligence tool (e.g. Tableau, Looker, PowerBI)
• Good knowledge of Python, Microsoft Excel and intermediate statistics
• Familiar with data science techniques and machine learning models
• Prior experience with end-to-end project delivery (e.g. requirements gathering, scoping, working within large organizations, presenting on project plans and results)
• Detail-oriented, naturally curious and willing to question to status quo to understand business needs

Preferred Qualifications:

• Prior experience in the financial services and alternative investments
• Prior experience in business analyst and/or project management roles

Benefits

The base salary range for this role is $100,000 to $135,000 depending on level and experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Compliance at Brex

The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.

What you’ll do

As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team.  You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment. 

Where you’ll work

This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
• Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
• Take ownership of the success of our internal controls, spot and scope opportunities for improvement
• Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
• Support vendor integrations and address questions from L1 alert reviewers

Requirements

• 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
• Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
• Technical aptitude in understanding complex money movement across payment methods and rails
• Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
• Familiarity working with AI tools
• Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)

Bonus points

• CAMS Certified 
• Experience using various transaction monitoring systems
• Insatiable curiosity
• Eagerness to learn
• Detail oriented
• Desire to build

Compensation

The expected salary range for this role is $76,800 - $96,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

About the Role

iCapital is looking to hire a Software Developer in Test to work on the iCapital platform. This individual will bring practical knowledge of agile development methodologies and engineering best practices. This role will work closely with the Development and Testing team. The ideal candidate is a combination of a hands-on test engineer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing.

Responsibilities

• Build and implement robust automated test suites for API and backend services.
• Design and implement test strategies for AI/ML models and AI enabled in-house applications, including validation of model outputs, prompt behavior, determinism, and regression across releases.
• Establish automated evaluation frameworks for AI systems (i.e. accuracy, consistency, hallucination detection, bias, and drift) and integrate them into CI/CD pipelines.
• Partner with AI/ML Engineers, Platform teams, and Governance stakeholders to ensure responsible AI practices, including testability, traceability, and production readiness of AI features.
• Integrate automated test suites into existing GitLab CI/CD pipelines and deployment workflows.
• Maintain and improve automation frameworks to accommodate evolving system architecture, including blockchain based components.
• Collaborate with developers, product managers, and DevOps engineers to ensure testability and quality across distributed systems.
• Create and manage defect workflows integrated with tools such as JIRA, ensuring clear communication and traceability.
• Define, track, and publish meaningful QA metrics to support automated test development, execution, and overall quality reporting.
• Build and maintain performance and load testing suites for critical backend services and smart contract interactions where applicable.
• Perform all types of testing as needed like Functional, API, Automation, Performance, and Integration testing.
• Contribute to continuous improvement of QA processes, tooling, and best practices within an Agile environment.

Qualifications

• 10+ years of experience with QA engineering delivery experience with strong focus on backend or API testing
• 6+ years of delivery within Agile SDLC teams ideally with CI/CD
• Experience testing AI/ML or LLM‑powered systems, including model validation, prompt testing, regression testing of AI behavior, and evaluation of non‑deterministic outputs
• Familiar with AI testing techniques and metrics such as precision and recall, drift detection, bias assessment, and offline vs online evaluation approaches
• Working knowledge of AI‑enabled development tools or platforms (i.e. AI coding assistants, test‑generation tools, or internal AI platforms) and their impact on SDLC and quality governance
• Strong experience testing REST APIs, backend microservices, and distributed systems
• Experience working with blockchain technologies (i.e. smart contracts, distributed ledgers, blockchain node interaction) is preferred
• Solid understanding of CI/CD tooling and pipelines, especially GitLab CI/CD
• Experience with Python, Behave, PyTest, Postman/REST Tools, JMeter or similar performance tools
• Experience with Gitlab, Git, Jenkins, and Docker
• AI Integration experience is preferred
• Exposure to banking or finance environments is preferred

Benefits

The base salary range for this role is $120,000 to $150,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The Impact You’ll Make

Recursion is leading an era of autonomous science – iterating across the discovery process, leveraging machine learning and agents built-for-purpose to uncover novel insights across biology and chemistry, fueling our clinical-stage pipeline. As the Senior Product Manager for Agentic Science, you will sit at the intersection of drug discovery and AI, serving as the critical translator between our scientific teams and the agentic systems they depend on. Your primary focus will be on outcomes: ensuring our agents impact Recursion’s pipeline through demonstrably accelerating discovery.

This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner closely with drug discovery scientists to understand their workflows, translate their needs into agent task definitions, and design and maintain the benchmarks that -ensure our agents are driving value. As the field evolves rapidly, you will help the team distinguish real scientific progress from superficially promising results.

In this role, you will:

• Champion Benchmarking for Agentic Science: Drive alignment across scientific and technical teams around evaluation frameworks that measure agent performance against scientifically meaningful outcomes, continuously refining them as the field evolves.
• Drive Outcome-Focused Product Development: Keep the team anchored to what matters: building agents that meaningfully advance drug discovery programs, not just executing tasks.
• Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery.
• Monitor the Competitive Benchmark Landscape: Track how leading organizations across pharma AI, biotech, and foundation model research are measuring agentic performance. Ensure Recursion's evaluation frameworks stay calibrated against external standards, so our benchmarks reflect genuine scientific progress rather than internally optimized metrics.

The Team You’ll Join 

You will join a cross-functional team of software engineers, data scientists, AI/ML scientists and drug discovery biologists and chemists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will work closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models).

The Experience You’ll Need

• Background in Drug Discovery or AI-driven Science: You have direct experience working in drug discovery, biotech, or AI-driven scientific research. Ideally, you will have worked hands-on with agentic systems (or agents) in a scientific context. You can credibly partner with PhD-level scientists and translate between scientific goals and technical systems without losing fidelity on either side.
• Fluency in Modern AI: You don't need to be an engineer, but you follow the AI landscape closely and understand how LLMs and agentic systems actually work in practice. Bonus points if you've benchmarked an agent(s) or worked hands-on with agentic tools, even outside a formal work context.
• Experimentation-First Mindset: You have a natural instinct for working through rapid prototyping cycles, whether in a product, research, or scientific context. You'd rather run a quick experiment than write a long spec.
• Systems Thinking: You can hold the big picture in mind while working in the details. You think naturally about how multiple agents interact, where they hand off to each other, and where humans need to be in the loop to catch errors, validate outputs, or make judgment calls that agents can't.

Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, ML and software engineers, AI Researchers) around a unified technical vision.

Working Location & Compensation:

This is an office-based, hybrid position at one of our offices in either Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

The Impact You’ll Make: 

Recursion is seeking a Director of Neuroscience to lead the development and application of human iPSC-derived cellular models for neurodegenerative disease drug discovery. This role combines scientific leadership with hands-on execution to advance programs from target identification through lead optimization. You will partner cross-functionally and with external collaborators to deliver high-quality, data-driven insights that accelerate therapeutic discovery.

In this role, you will: 

• Lead design and development of human iPSC-derived cellular models and mechanistic assays for neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s, ALS)
• Drive neuroscience programs from early discovery through lead optimization, establishing robust in vitro assay cascades to enable SAR and decision-making
• Design and oversee cellular and molecular assays using high-content imaging and quantitative approaches to interrogate disease biology and mechanism of action
• Collaborate closely with chemistry, pharmacology, data science, screening, toxicology, and DMPK teams to advance targets and molecules
• Contribute to target validation and translational strategies by integrating phenotypic, genomic, and proteomic datasets
• Lead and mentor scientists, fostering a high-performance, collaborative team environment
• Present scientific findings and strategic recommendations to internal leadership and external partners

The Team You’ll Join: 

Reporting to the Vice President of Neuroscience, you will be joining Recursion’s partnership with Roche-Genentech as a key leader. In this role, you will lead a team dedicated to the building of novel technology and projects in neurodegenerative diseases, exploring Recursion’s maps to decode novel neurobiology. This team exploits a multi-omic approach toward the establishment and validation of novel hypotheses in neuroscience disease biology while incorporating functionally relevant translational endpoints. 

The Experience You’ll Need: 

• Ph.D. in Neuroscience, Cell Biology, Pharmacology, or related field, with postdoctoral training
• 5-7+ years of successful leadership, mentorship, and management of drug discovery teams
• 5+ years of industry experience in neuroscience drug discovery
• Experience with CRISPR editing and/or viral systems, familiarity with multi-omics data integration (e.g., RNA-seq, proteomics)
• Prior experience working on partnered programs with external collaborators
• Experience leading cross-functional drug discovery programs
• Expertise in cell-based assays, high-content imaging, and quantitative data analysis
• Strong communication skills and ability to influence across disciplines
• Deep expertise in human cellular disease models, particularly iPSC-derived systems relevant to neurodegeneration
• Proven track record of advancing neuroscience drug discovery programs from target ID through lead optimization
• Thrives in cross-functional, highly collaborative teams and has experience working with external partners or large pharma
• Embraces innovative approaches, including AI/ML-enabled discovery and scalable data generation

Working Location & Compensation:

This is an office and lab-based, hybrid role in our Salt Lake City, UT office. Employees are expected to work in the office at least 50% of the time. 

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $198,000-237,600 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

The Impact You’ll Make: 

At Recursion, we are decoding biology to radically improve lives. Scaling our impact at the intersection of machine learning and experimental science requires world-class People systems.

We’re seeking a Global People Technology & Architecture Lead for our global HR technology ecosystem. This role owns HiBob configuration, workforce analytics, system integrations, compliance, and AI-enabled innovation across the People function. You will ensure our People infrastructure is scalable, intelligent, and built to support a rapidly evolving scientific and technical workforce across the US, UK, and Canada.

This is a high-impact role for a systems thinker who blends hands-on technical expertise with strategic workforce insight. Our ability to move faster in decoding biology depends on having the right talent, supported by the right systems. This role ensures Recursion’s People technology ecosystem is scalable, insight-driven, compliant, and aligned to our ambitious growth.

In this role, you will: 

• Serve as functional and technical owner of HiBob across Core HR, Compensation, Talent, and Workforce Planning, and technical owner of Greenhouse, PAVE, Bridge and other people technology tools
• Lead system enhancements, design, and vendor management
• Assist in driving tech stack optimization and scalable system architecture in partnership with IT and Finance
• Identify and implement AI and automation solutions that streamline workflows and enhance our manager and employee experiences
• Build intelligent systems that elevate decision-making and operational efficiency.
• Translate workforce data into actionable insights that inform organizational design and capacity planning, while developing dashboards and advanced reporting
• Oversee integrations across HRIS, payroll, benefits, and enterprise systems, while maintaining data integrity, audit readiness, and global compliance standards.

The Team You Will Join:

Recursion’s People Team creates the conditions to enable and sustain high-performing teams, and helps employees do the best work of their careers. We are talent scouts and partners, creating experiences and outcomes that support our employees and drive business success. We focus on scalable solutions that add value across geographies, while providing individual advisory partnership and support where it matters most. With a people + data approach, we ensure Recursion has the people, culture, and operating dynamics to accelerate drug discovery and get medicines to patients faster.

The Experience You’ll Need: 

• 8+ years leading HRIS, People Analytics, and HR technology initiatives in scaling, multi-entity organizations
• Proven experience implementing AI-enabled people tools end-to-end, including vendor selection, business case development, data readiness, change management, and post-launch optimization
• Deep hands-on expertise in HiBob, including workflow configuration, permissions architecture, lifecycle automation, compensation cycles, reporting, and global system optimization
• Strong techno-functional knowledge across workforce planning, compensation, headcount forecasting, talent management, and org design, with the ability to translate People strategy into scalable systems
• Experience designing and managing integrations across HR tech stacks (ATS, payroll, equity, engagement, finance), including APIs, middleware, data mapping, and reconciliation
• Advanced reporting and data modeling skills, with the ability to partner with leaders on executive dashboards, headcount/attrition analytics, compensation analysis, and workforce forecasting, with a strong focus on data integrity
• Experience with HR systems governance, including SOX (as applicable), GDPR/CCPA compliance, audit support, access management, and data quality standards.
• Ability to operate strategically and tactically, owning multi-year HR systems roadmaps while remaining hands-on with configuration, testing, troubleshooting, and stakeholder enablement

Working Location & Compensation:

Making NYC your home base is ideal; however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. 

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $153,300 to $226,600 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-DB1

#LI-REMOTE

The Role:

We are looking for an eager Senior Staff Software Engineer excited to dive in and help build and support the cutting edge technology systems of the Lending Finance Platform team, which support our Capital Markets and Accounting business functions. SoFi is trying to push the boundaries of lending and provide next-level products for our members and investors, and we are seeking anyone with big ideas and a drive to help achieve our goals.

We value forward-thinking engineers who are hands-on, take ownership, and drive delivery. You’ll be surrounded by a talented team where mentorship, knowledge-sharing, and collaboration are central to our culture. We’re seeking someone who is not only an expert in full-stack development but also understands how to leverage data for impactful reporting and aggregation across the platform.

As a senior staff software engineer, you will be part of a team that is empowered to make technical decisions that have direct impact on the success of the business. You will be in the middle of it all – working with partner teams in Lending Engineering and Data Science, implementing new functionality, architecting our system, squashing bugs, maintaining the health of our code, delivering scalable and highly-available services, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. 

At SoFi, we pride ourselves on the collaboration between Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, supporting, and continual improvements and evolution of mission-critical systems. You’ll face and solve a wide range of challenges: technical, product, and operational, shaping your personal growth and career along the way, as well as using your areas of expertise to grow the capabilities of the rest of the team.

What You’ll Do:

Hands-on Engineering/ Technical Leadership & Strategy

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Develop APIs, services, and platform infrastructure that support loan servicing, payment schedules, and operational workflows.
• Drive hands-on delivery of critical projects like schedule generation, batching frameworks, and testing infrastructure.
• Architect platform-level services and improve systems for resilience, observability, and extensibility.
• Make high-leverage engineering decisions that balance speed, quality, and maintainability.

Raise the bar on engineering quality through hands-on contributions, design reviews, and technical mentorship.

Team Collaboration & Mentorship

• Partner with product, design, operations, and other engineering teams to build solutions that deliver business value and customer impact.
• Contribute to cross-functional platform efforts (e.g., onboarding, credit bureau reporting, collections APIs).
• Drive alignment on technical strategy and execution, with strong written and verbal communication.

What You’ll Need:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years experience as a software engineer, designing and implementing complex software solutions.
• Experience with React / Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of software architecture, design patterns, and best practices for building scalable and robust applications.
• Proven experience in leading and mentoring engineering teams, promoting technical excellence and collaboration.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD

Nice to have:

• Experience in financial services or fintech (loan servicing, payments, interest calculations, credit reporting, etc.)
• Experience with Temporal, Kubernetes, Docker, Terraform, and CI/CD tooling.
• Exposure to data analytics or machine learning platforms.
• Familiarity with front-end technologies such as React, Scala, or Flutter.

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid position at either of our US offices located in Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $58,700- 66,038.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

The Impact You’ll Make

As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases.

You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them.  

In this role, you will:

• Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning
• Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
• Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification
• Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
• Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
• Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
• Collaborate cross-functionally with Recursion’s data science, biology, medicinal chemistry, and  platform, teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs

The Team You’ll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, neuroscience, and I&I (immunology and inflammation), and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. 

Our team collaborates extensively with computational biologists in other therapeutic areas (immunology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. 

The Experience You’ll Need

• PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R
• Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data
• Exceptional data visualization skills
• Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

• Strong understanding of patient genetics and historical druggability of disease-relevant pathways,  including experience working with patient data
• Experience in efficiently advancing drug programs from proof of concept and into clinical development
• Experience with neuroscience clinical trial biomarker analysis
• Experience working as part of partnerships or client facing (consulting) teams

Working Location & Compensation:

This is an office-based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $253,100. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

The Impact You'll Make

Recursion is at the forefront of reimagining drug discovery by integrating technological innovations across biology, chemistry, automation, data science, and engineering to radically improve lives by industrializing drug discovery. We are seeking an experienced Associate Director to join our Discovery Biology team to lead and advance our AI-driven portfolio of therapeutic candidates.  

This is a truly unique opportunity to work at the dynamic intersection of technology and biology. You won't just manage projects and key initiatives; you will be an active catalyst contributing to the evolution of a new, powerful paradigm in medicine.

In this Role, You Will:

• Play a critical role in defining and executing our oncology strategy, seamlessly integrating traditional drug discovery principles with cutting-edge in silico computational approaches. 
• Lead scientific initiatives focused on successfully delivering various small molecule programs from initial hit to candidate selection and IND submission. 
• Contribute to novel target insight generation, patient refinement and patient selection strategies within several early discovery programs and have the opportunity to improve the Recursion OS itself. 

The Team You'll Join

You will be an integral part of the Discovery team, working collaboratively with a diverse group of life scientists, computational and technical experts. You will work cross-functionally with team members from various disciplines, including data science, computational biology, pharmacology, DMPK, and chemistry, to accelerate the progression of compounds through the portfolio. This team is responsible for guiding the foundational biology and the critical "tech-to-program" translation across our early Discovery oncology portfolio. 

The Experience You'll Need

• PhD in a relevant biological science discipline (e.g., Molecular Biology, Oncology, Pharmacology, Biochemistry, Computational Biology) with at least 7+ years of experience in Tech-forward Biotech or Pharma 
• A proven track record of accomplishments in drug discovery, with specific experience in operating as a Scientific Team Lead for oncology and/or immuno-oncology programs from early discovery to a clinical candidate stage
• Demonstrated experience with modern drug discovery approaches, including familiarity with AI/ML-driven platforms and models, high-throughput screening, ‘omics data analysis, with a systems biology mindset.
• Strong understanding of the oncology landscape, including key therapeutic modalities, emerging targets, and clinical development challenges.
• Exceptional leadership and interpersonal skills, with the ability to lead and motivate high-performing, cross-functional teams in a fast-paced, matrix environment.
• Demonstrated ability to deliver impactful, clear presentations and memos to a wide range of audiences, including the Executive Leadership Team (ELT), program teams, Key Opinion Leaders (KOLs), and external partners.A strategic and tactical thinker who can prioritize competing demands and solve complex problems with a solution-focused mindset.

Working Location:

This is an office-based, hybrid role in our Salt Lake City / New York City office. Employees are expected to work in the office at least 50% of the time. 

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $198,000 - $271,700 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

The Impact You'll Make

Recursion is at the forefront of reimagining drug discovery by integrating technological innovations across biology, chemistry, automation, data science, and engineering to radically improve lives by industrializing drug discovery. We are seeking an experienced Associate Director to join our Discovery Biology team to lead and advance our AI-driven portfolio of therapeutic candidates.  

This is a truly unique opportunity to work at the dynamic intersection of technology and biology. You won't just manage projects and key initiatives; you will be an active catalyst contributing to the evolution of a new, powerful paradigm in medicine.

In this Role, You Will:

• Play a critical role in defining and executing our oncology strategy, seamlessly integrating traditional drug discovery principles with cutting-edge in silico computational approaches. 
• Lead scientific initiatives focused on successfully delivering various small molecule programs from initial hit to candidate selection and IND submission. 
• Contribute to novel target insight generation, patient refinement and patient selection strategies within several early discovery programs and have the opportunity to improve the Recursion OS itself. 

The Team You'll Join

You will be an integral part of the Discovery team, working collaboratively with a diverse group of life scientists, computational and technical experts. You will work cross-functionally with team members from various disciplines, including data science, computational biology, pharmacology, DMPK, and chemistry, to accelerate the progression of compounds through the portfolio. This team is responsible for guiding the foundational biology and the critical "tech-to-program" translation across our early Discovery oncology portfolio. 

The Experience You'll Need

• PhD in a relevant biological science discipline (e.g., Molecular Biology, Oncology, Pharmacology, Biochemistry, Computational Biology) with at least 7+ years of experience in Tech-forward Biotech or Pharma 
• A proven track record of accomplishments in drug discovery, with specific experience in operating as a Scientific Team Lead for oncology and/or immuno-oncology programs from early discovery to a clinical candidate stage
• Demonstrated experience with modern drug discovery approaches, including familiarity with AI/ML-driven platforms and models, high-throughput screening, ‘omics data analysis, with a systems biology mindset.
• Strong understanding of the oncology landscape, including key therapeutic modalities, emerging targets, and clinical development challenges.
• Exceptional leadership and interpersonal skills, with the ability to lead and motivate high-performing, cross-functional teams in a fast-paced, matrix environment.
• Demonstrated ability to deliver impactful, clear presentations and memos to a wide range of audiences, including the Executive Leadership Team (ELT), program teams, Key Opinion Leaders (KOLs), and external partners.A strategic and tactical thinker who can prioritize competing demands and solve complex problems with a solution-focused mindset.

Working Location:

This is an office-based, hybrid role in our Salt Lake City / New York City office. Employees are expected to work in the office at least 50% of the time. 

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $198,000 - $271,700 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

The Impact You’ll Make

As a computational biology specialist on our Target ID team, you will be at the forefront of transitioning Recursion to its next era of drug discovery. You will serve as a critical biological anchor for a highly technical data science team building the next generation of our target discovery pipelines.

The team’s mission is to identify novel therapeutic targets at scale across the genome for hundreds of indications. You will have access to all of Recursion's data layers—including massive internal maps, functional genomics, and rich patient data (transcriptomics, genetics, and Real-World Data/EHR)—and will be tasked with proposing, piloting, and deploying new methods to integrate these datasets.

Crucially, you will leverage your biological subject matter expertise to orient and focus your data scientist and software engineer peers towards reliable and correct usage of biological data and feasible candidate programs. As we build out semi-automated and agentic tools (e.g., multi-agent LLM systems for portfolio oversight and target assessment), your deep real-world biology experience will guide the development of these tools, ensuring they are grounded in biological reality and translate to meaningful portfolio and patient impact.

The ideal candidate is a computational biology specialist with high fluency in data science tech stacks. You know how to build and evaluate predictive models and build agentic pipelines, and your differentiator is your deep understanding of patient-relevant datasets, disease biology, and target discovery.

In this role, you will:

• Discover & Evaluate: Propose and validate novel targets using deep integration of patient data (transcriptomics, population genetics, EHR, etc) and Recursion's internal multi-omic data layers.
• Guide & Automate: Collaborate closely with data scientists to build, refine, and guide semi-automated and agentic target discovery tools. You will ensure these tools are biologically sound and can scale to evaluate hypotheses across many indications spanning a wide range of therapeutic areas.
• Triangulate: Use advanced statistical methods (e.g., causal inference, survival modeling) to establish confident target-to-patient connections and define specific addressable patient populations for early pipeline programs.
• Bridge the Gap: Translate complex platform findings into disease-relevant applications, bridging the gap between high-dimensional data science output and actionable drug discovery insights.
• Present & Influence: Communicate complex biological rationale and data analyses to decision-makers and cross-functional stakeholders, driving data-backed "go/no-go" decisions in a two-stage target approval process.

The Team You’ll Join

Our group is a bold, agile, diverse collective of data scientists and computational biologists driving Recursion’s early portfolio strategy. We are focused on aggressively expanding our early-stage pipeline with highly validated, novel therapeutic targets. To achieve this, we prioritize defining specific patient populations and establishing clear, data-backed translational paths from day one of every new program.

Because this team is dominated by experts in traditional data science, AI/ML, and software engineering, your role is absolutely critical. You will provide the essential biological experience and subject matter expertise to improve and accelerate the work of your peers. Essential attributes for this role include a bold, execution-first attitude, high technical fluency to collaborate seamlessly on data-science-heavy codebases, and a passion for deploying rigorous science to develop life-changing medicines.

The Experience You’ll Need

• PhD in Computational Biology, Bioinformatics, Human Genetics, Systems Biology, or a closely related field with 3+ years of experience in the biotech or pharma industry OR MS in a relevant field and 5+ years of industry experience focusing on target ID or early drug discovery.
• Biological SME: Deep, real-world experience in target discovery, functional genomics, and understanding the druggability of disease-relevant pathways.
• Data Science Fluency: Highly proficient in Python and/or R, with a strong ability to seamlessly integrate into a data-science-heavy tech stack. Comfortable with modern software engineering practices, cloud computing, and machine learning concepts.
• Patient Data Expertise: Extensive experience working with "discovery-related" human data, particularly transcriptomics (bulk/single-cell), patient genetics/GWAS, and clinical/real-world data (e.g., EHR).
• Analytical Rigor: Experience applying advanced computational and statistical methods to establish biological causality (e.g., survival analysis, causal inference modeling).
• Excellent cross-functional communication skills, with a proven track record of upskilling peers in biological concepts and guiding technical teams toward translatable biological outcomes.

Nice To Have:

• Experience working with, prompting, or integrating Large Language Models (LLMs) and autonomous agentic workflows into scientific research.
• Familiarity with building or utilizing Knowledge Graphs for target identification.
• Experience working in the field of oncology or immunology.

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $230,000. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

The Impact You’ll Make

• Define and lead product security strategy across web, mobile, API, cloud, infrastructure, and container security — conducting threat modeling, risk assessments, and security reviews throughout the development lifecycle with a strong shift-left focus.
• Embed secure development practices by designing and implementing secure coding standards, encryption, and security testing methodologies in close collaboration with development and ML teams, ensuring products are secure, resilient, and trustworthy.
• Own Enterprise AI Security end-to-end — from securing LLM integrations, agentic pipelines, and ML model ingestion to defending against AI-specific threats (prompt injection, data poisoning, model extraction, RAG poisoning, ), building AI incident response playbooks, and red-teaming AI systems across Recursion's product surfaces.
• Secure the AI supply chain and MLOps infrastructure by vetting third-party foundation models, open-source weights, and AI APIs before production integration, and partnering with ML engineering to protect training pipelines, feature stores, and model serving endpoints.
• Champion compliance and AI governance by operationalizing frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act requirements — collaborating with legal, privacy, and responsible AI teams to support audits and evolving regulatory expectations.
• Scale security as a force multiplier by evaluating and deploying security tooling, detecting policy violations, driving security outcomes, and ensuring security initiatives never become a bottleneck to business objectives.
• Elevate the security culture across the organization by serving as a subject matter expert, mentoring engineering teams, and leading incident response efforts from investigation through mitigation and prevention.
• Maintain the security foundation through thorough documentation — including security requirements, guidelines, and incident response plans — and hands-on penetration testing and code reviews to simulate and get ahead of real-world threats.

The Team You'll Join

• You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to agree on what the most important challenges and capabilities are, then figure out how to get us there.

The Experience You'll Need

• Education & Tenure: Bachelor's or Master's degree in Computer Science, Information Security, or a related field, with 10+ years of experience in product security or application security and a proven track record securing complex products.
• Security Fundamentals: Deep understanding of security principles, threats, and countermeasures as they relate to product design and development, with familiarity across standards and frameworks including OWASP, NIST, ISO/IEC 27001, and CVSS-based vulnerability prioritization.
• Offensive Security & Penetration Testing: Hands-on proficiency with penetration testing frameworks and tools (Metasploit, Burp Suite, Nmap, Wireshark), web application attack techniques (SQL injection, XSS, CSRF, OWASP Top Ten), and the ability to simulate real-world attacks and assess their impact.
• Secure Development & Engineering: Expertise in one or more programming languages (e.g., Python, Java, C++) with strong command of secure coding practices, encryption standards, and integrating security tooling into CI/CD and development workflows.
• Enterprise AI Security: Demonstrated experience securing AI/ML systems and LLM-powered or agentic products in production — including familiarity with AI attack surfaces (prompt injection, data poisoning, model extraction, membership inference, RAG poisoning) and hands-on red-teaming of AI pipelines and agentic workflows.
• AI Frameworks & Supply Chain Risk: Working knowledge of AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act) and experience vetting third-party foundation models, open-source weights, and AI APIs as part of a structured supply chain security program.
• MLOps & Model Security: Familiarity with securing ML infrastructure — including training pipelines, experiment tracking, model registries, and inference endpoints — and designing least-privilege access controls for AI agents with external system or tool access.
• Leadership & Communication: Excellent communication and influencing skills, with the ability to drive security initiatives across engineering, legal, privacy, and executive stakeholders and mentor teams on security best practices.
• Certifications (Highly Desirable): CISSP, OSCP, or GWAPT for core security credentialing, plus AI-focused certifications such as GAISC, Offensive ML (OffSec), or cloud provider AI security tracks (AWS/GCP).

Working Location & Compensation:

Making SLC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $186,900 to $220,400 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-BO1

#LI-REMOTE

The Impact You’ll Make: 

Recursion is currently seeking a seasoned leader to join our team as Vice President, Real World Experience. This role will lead RWE generation across the Recursion portfolio. The role will be responsible for building a world-class team of statisticians, pharmacoepidemiologists, and statistical programmers. This VP and their team will partner closely with the biometrics team, clinical development, and other internal stakeholders. The role will involve, but will not be limited to, supporting study planning, generating natural history data to contextualize rare disease trials, contributing to health authority interactions, supporting value demonstration for submission to HTA bodies, and other evidence-generation needs. 

We are looking for someone who is innovative and can build systems, programs, and teams from the ground up. 

In this role, you will: 

• Build, develop, and lead our RWE team
• Participate in governance meetings and provide strategic and scientific input
• Build a roadmap for real-world data licensing and prioritization 
• Strategic and scientific contribution to interventional study design and planning
• Conduct externally controlled studies where appropriate and relevant
• Natural history data generation to support study planning and contextualize observed efficacy in rare disease programs
• Support external stakeholder engagement, such as regulatory agencies and HTAs 
• Build academic partnerships 

The Experience You’ll Need: 

• 12+ years of relevant experience in biotechnology or pharmaceuticals 
• Strong background in causal inference in non-randomized settings 
• Strong background in machine learning
• Familiarity with at least one statistical programming language such as SAS, R, Python, or others. 
• Knowledge of the regulatory landscape for rare diseases and oncology. 
• Knowledge of regulatory guidance on the use of RWE.
• Knowledge of the global reimbursement landscape and the use of RWE for reimbursement  support
• Bonus points for familiarity with CDISC standards 
• Strong written and oral communication skills 
• Ability to travel as needed to our various office locations; up to 25%
• Bachelor’s in a quantitative field; Masters or PhD in a quantitative field preferred

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah, or our office in New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $319,000 to $437,800 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-DB1
#LI-REMOTE

ABOUT THIS OPPORTUNITY

onX is seeking a Staff Software Engineer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on the design, development, and scaling of our core AI/ML platforms and product-facing services as part of the AI Foundations Team, supporting the integration of cutting-edge artificial intelligence solutions across onX's product lines. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the Director of Engineering.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Work on the design, development, and deployment of large-scale AI systems and services, including models, pipelines, product experiences and infrastructure.
• Help Drive the technical strategy and roadmap for AI feature development, focusing on scalability, repeatability, reliability, and performance.
• Mentor and guide other engineers in best practices and productionizing AI technologies.
• Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high-impact AI solutions (combining LLMs, Vector Databases, ML and other technology in novel ways to serve onX’ unique audience).
• Look for opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
• Be a leader in AI safety, ensuring AI-enabled products are aligned with our values and mission.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience.
• 10+ years of professional software engineering experience, with at least 3 years focused on building and scaling production AI/ML systems, is required.
• Expertise in building scalable backend systems.
• Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks.
• Experience with modern AI technologies, including Large Language Models (LLMs) and their various architectures, methods such as RAG, vector databases, and the common AI stack including TensorFlow/Keras, PyTorch, Transformers, etc.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• A history of engaging in AI development, from the early ML/NN (YOLO, Darknet) to the LLM era.
• Experience in monitoring and debugging production AI systems (inference, evals, judging, benchmarks) including cost and performance optimizations.
• Interest or experience in edge/on-device inference (MLX, JAX, transformers on TPU/NPU, etc.)
• Interest, experience or experimentation in training/fine-tuning transformer/diffusion models, dataset curation and captioning, etc.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions.  Applicants can expect to make between $169,000 to $211,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

Quantitative Researchers at Xantium are responsible for researching and developing mathematical models used to identify investment and trading opportunities in the global financial markets.

The process is collaborative, involving direct access to and guidance from senior quantitative portfolio managers and engineers with years of experience across all major markets. Our Quantitative Researchers learn a range of skills including various research
techniques as well as how to work with different types of data, markets and asset classes. 

Examples of responsibilities include:

• Analyzing and evaluating financial and alternative datasets
• Researching existing and developing new techniques in machine learning
• Researching, developing and implementing quantitative trading signals/models
• Developing and maintaining modeling infrastructure
• Supporting production trading operations

Quantitative Researcher applicants should have a PhD (or equivalent) that involved intense mathematics or statistics. We may consider candidates without PhDs, provided they can demonstrate strong competitive math backgrounds and strong academic records

Compensation: Quantitative Researchers in New York can expect to earn $175,000 to $225,000+ base. Total compensation for all Quantitative Researchers also includes a large annual bonus which is guaranteed in year one and based on employee and firm performance thereafter.

The Design Team @ Pave

The design team at Pave is a small, synergy-driven bunch that values a dash of fun and a robust work ethic. We're deeply invested in our customers, making it our mission to master their needs. Our commitment is to create a space where creativity thrives, deep involvement is the norm, and meaningful conversations flow. We thrive on untangling complex problems—of which there are many! If this blend of drive, dedication, fun, and challenge piques your interest, we'd love for you to reach out!

About this role:

Pave is looking for a Senior Product Designer to own the design vision for AI across our platform. You'll be the person who figures out how AI should show up in Pave—how it communicates, how it earns user confidence, and where it will have the most impact. That starts with our conversational AI compensation analyst and extends into agentic workflows that connect the tools compensation teams already rely on today.

You'll establish the UX principles that govern how AI behaves at Pave, shape interaction patterns that scale, and have a real seat at the table when it comes to product direction. You'll partner closely with Product, Engineering, and Data Science to move from concepts through research and iteration to shipped features.

We need someone who can hold two things at once: a long-range vision for what AI-powered compensation work looks like, and the craft to build toward it week by week.

What You'll Bring

• Proven AI product impact: You've shipped LLM-powered experiences to production and can point to real outcomes—whether that's adoption, efficiency, or user trust. 
• Systems-level design thinking: You've designed end-to-end AI workflows, not just conversational interfaces. You think about failure states, guardrails, user control, and transparency, and you're energized by that complexity rather than intimidated by it.
• Strategic product influence: You've shaped the UX direction for large scope initiatives, influencing roadmap priorities and sequencing decisions in partnership with product and engineering leaders. 
• Builder mindset: You prototype, ship, and iterate. You want to see your work in customers' hands, and you take personal ownership of the outcome.
• Collaborative and constructive: You make the people around you better. You contribute to a healthy team dynamic and uplift those around you. You give and receive feedback, build strong cross-functional relationships, and genuinely care about the health of the team, not just the work.

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Targeted cash compensation for this role: 
P3: $148,000 - $175,000
P4: $175,000 - $205,000
P5: $205,000 - $240,000

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
• Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
• Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
• Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

The Sales Team @ Pave

As an Enterprise Account Executive at Pave, you'll be at the forefront of revolutionizing how companies approach compensation. Working directly with HR and Finance executives, you'll help shape the future of compensation technology while playing a crucial role in our go-to-market strategy. As one of our Enterprise AEs, you'll have the unique opportunity to influence product direction and scale our enterprise motion while working alongside founders, investors, and industry leaders.

What You'll Be Doing:

• Drive complex, multi-threaded sales cycles with strategic prospects, focusing on six-figure deals that expand Pave's compensation network
• Partner with prospects' HR and Finance leadership to understand their compensation challenges and demonstrate how Pave can transform their practices
• Collaborate with product and engineering teams to influence roadmap decisions based on enterprise market needs and customer feedback
• Develop and execute strategic account plans in partnership with SDRs to build a robust pipeline through both inbound and outbound efforts
• Work cross-functionally with Customer Success to ensure smooth handoffs and drive successful customer outcomes
• Contribute to building and refining our enterprise sales playbook as we scale our go-to-market motion
• Serve as a trusted advisor to prospects, helping them envision and implement modern compensation practices across their organizations

What You'll Bring

• 7+ years of proven SaaS sales experience with a track record of consistently exceeding quota
• Demonstrated success in enterprise sales cycles (6 month+) with 6 figure deals 
• Strong consultative selling skills with the ability to navigate complex organizational structures and multiple stakeholders
• Experience selling to HR, Finance, or other executive stakeholders in high-growth technology companies
• Entrepreneurial mindset with the ability to thrive in a fast-paced, rapidly evolving environment
• Excellence in discovery, solution positioning, and building business cases that resonate with executive buyers
• Track record of contributing beyond the traditional sales role to help build and scale sales organizations

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Targeted cash compensation for this role: $300,000 OTE

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
• Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
• Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
• Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

The People Team @ Pave

We're a strategic, high-impact team that partners directly with leadership to build world-class employee experience and people infrastructure. We own the full employee lifecycle - from offer acceptance through growth and development - and serve as trusted advisors who shape how we support, retain, and develop talent in a competitive market.

People Operations isn't just about administering programs. It's about building the systems, culture, and experience that will define how Pave scales and how our team shows up every day. You'll have the tools to succeed, autonomy to innovate on process, and direct exposure to high-impact company-building decisions that shape our culture, compensation philosophy, and how we operate as we grow.

What You'll Do

Employee Lifecycle & Operations

• Lead HR operations including onboarding, offboarding, documentation, and employee records management
• Execute on seamless onboarding experiences that get new hires productive fast and continually improve the process
• Manage offboarding processes that maintain our culture of transparency and respect
• Ensure compliance with local, state, and federal employment laws and internal policies

Payroll, Benefits & Compensation

• Manage payroll processing, bonuses, and annual compensation cycles accurately and confidentially
• Oversee benefits administration (healthcare, 401k, leave policies, PTO) and serve as point of contact for employees and vendors
• Support compensation review cycles and ensure changes are reflected systemically
• Continuously assess competitiveness of compensation and benefits packages

Systems & Process Improvement

• Own and optimize our HRIS (HiBob) to improve efficiency
• Track and analyze people metrics (turnover, engagement, hiring speed, performance outcomes)
• Identify opportunities to streamline workflows and create scalable processes
• Build dashboards that give leadership real-time insights

Immigration & Compliance

• Manage work authorization processes (H-1B transfers/renewals, TN, green cards) and coordinate with immigration counsel
• Stay ahead of employment law changes across SF, NYC, SLC, and Krakow
• Navigate multi-state and international compliance requirements

Performance & Development

• Manage performance review processes, goal-setting, and professional development programs
• Support managers with coaching, feedback, and growth planning
• Partner with leaders across GTM and R&D to understand team-specific people needs

Culture & Employee Experience

• Develop initiatives to strengthen engagement, recognition, and retention
• Act as trusted HR business partner to employees and leadership
• Help plan company events, recognition programs, and culture-building activities

What You'll Bring

Experience & Background

• 3-5+ years in People Operations, HR, or related roles with demonstrated progression in responsibility
• Broad HR generalist experience across compliance, payroll, benefits, performance management, immigration, recruiting, and employee engagement
• Experience in startup or high-growth company environment 
• Experience managing visa processes or partnering with immigration counsel preferred

Skills & Approach

• Systems-driven mindset - proficient in HRIS platforms (HiBob preferred) and think in terms of scalable processes
• Strong knowledge of employment law and HR best practices, particularly multi-state compliance
• Excellent relationship-builder with strong communication and problem-solving skills
• Extremely organized, proactive, and comfortable juggling multiple priorities
• Comfortable with ambiguity and rapid change - can build structure while staying flexible
• Genuine interest in compensation and our mission (we practice what we preach)

This Role Is a Great Fit if You...

• Want real scope and impact without managing a team today
• Enjoy being close to the details while shaping how the company operates as it scales
• Have strong ownership and are comfortable operating without a playbook
• Care deeply about culture and performance and want to make values measurable
• Are systems-minded and enjoy consolidating tools, automating workflows, and improving how things run
• Have worked in a global or multi-entity environment and are comfortable operating across US and international locations
• Are excited about working at a company where compensation isn't just policy - it's our product

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Targeted cash compensation for this role based on location: 
San Francisco: $145,000 - $165,000
Salt Lake City: $130,000 - $143,000

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
• Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
• Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
• Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Location: Remote (U.S. or Canada)

Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

Human Agency is an AI-native consultancy that builds, ships, and operates alongside our clients. We don’t advise from the sideline — we embed inside enterprise organizations and deploy production AI systems that do real work.

Our current anchor engagement is inside one of the largest privately held construction enterprises in the United States — LLM orchestration, document intelligence, workflow automation, enterprise integration. Not strategy decks. Not innovation labs. Systems that run.

We need a Managing Director of Technology to own the technical side of the house as we scale Human Agency. That means leading client delivery, making architecture calls, building the engineering team, and being the technical voice in rooms with C-suite executives. You’ll work closely on strategy with both the Founder and the Managing Director of AI — but the technical execution, the team, and the platform are yours.

This role requires someone who can move between writing production code and presenting to a client’s CEO in the same week. If that sounds like whiplash, this isn’t the right fit. If that sounds like Tuesday, keep reading.

What You’ll Do

Lead technical delivery for enterprise clients. You’re the most senior technical person in the room on our biggest engagements. You decide what’s feasible, design the architecture, and make sure it ships. When a client executive asks “can we do this?” — you’re the one who answers.

Build how we deliver, not just what we deliver. One client engagement works because of talented people and brute effort. Ten engagements work because of systems. You design the repeatable model — how we scope, staff, build, and deploy — so the team can run engagements without you in every meeting. That means building discovery frameworks, reference architectures, deployment templates, and evaluation routines that actually get used.

Hire and develop the engineering team. You set the bar, own the pipeline, and make the calls on who joins. We need people who can build with high autonomy in ambiguous environments, and you know how to find them. You also know how to make good engineers better through architecture guidance, code review, and honest feedback.

Own platform and infrastructure decisions. Build vs. buy, tooling, deployment, security — you make the calls. A Principal Engineer handles day-to-day infrastructure execution; you set priorities and architectural direction.

Shape our AI strategy through the lens of what actually ships. You have real opinions on LLM orchestration, RAG, agents, evaluation, and fine-tuning — formed by building things, not reading about them. You decide which technical bets we make and which we skip, based on what creates value for clients, not what looks good on a slide.

What We’re Looking For

• You’ve built and shipped AI/ML systems in production. Not prototypes. Not demos. Things that run and that people depend on.
• You’ve hired and led a technical team — at least 5 people, ideally more. You’ve seen what breaks when a team grows and you’ve fixed it.
• You can explain a technical trade-off to a non-technical executive in a way that helps them make a decision. You’ve done this in high-stakes settings.
• You have strong opinions on AI architecture grounded in hands-on experience — and you change those opinions when the evidence says to.
• You’re comfortable in the weeds. When something is broken or a team is stuck, you get in and help, not schedule a meeting about it.
• You know your way around cloud infrastructure and engineering practices well enough to make platform calls with confidence.

Bonus points for: you’ve scaled a startup or early-stage company before — built the team, built the systems, lived through the growing pains; experience in a services or consultancy model (SOWs, staffing, client delivery); a network of engineers you’ve worked with and would hire again.

You Should Apply If

• You’d rather build AI systems than talk about AI strategy
• You want to own a technical organization, not manage a lane inside someone else’s
• You’re comfortable making big decisions with imperfect information — and owning the outcome
• You want to work somewhere with real revenue, real clients, and real problems to solve
• You’re energized by building a company — not just writing code, but shaping how the whole thing works

You Should Not Apply If

• You want a CTO-like title with a strategy focus and minimal hands-on building
• You’re uncomfortable getting into production-level detail when the situation calls for it
• You expect an established engineering org with playbooks, processes, and a support structure already in place
• You’d rather delegate technical depth than engage directly
• Your experience is solely in product companies and you’re not interested in building for clients

Considerations

Education: Bachelor’s degree or equivalent experience; advanced degrees are a plus but not required

Ethics: Commitment to responsible AI practices — transparency, human oversight, privacy

Travel: Periodic (10–20%) for client work, team offsites, and events

Location: Remote-friendly; U.S. or Canada, with preference for EST timezone alignment

Why Join Human Agency

We’re profitable, growing, and building AI systems that run in production for billion-dollar companies. The team is small, the clients are real, and the work matters.

The work is real and the opportunity is massive. We’re building a company — the systems, the team, the delivery model, the culture — and we need someone to own the technical side of that build.

If you’re the kind of person who’d rather build the engine than describe the engine, we want to talk.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

ABOUT THIS OPPORTUNITY

onX is seeking an experienced Product Content Data Operations Leader to build and scale the systems, processes, and teams that power how product content moves from source to customer experience.

At onX, “content” refers to the structured, semi-structured, and unstructured data that powers our products—such as mapping, geospatial,  land ownership, trails, access points, recreation information, and other adventure-relevant datasets that help people navigate and understand the outdoors.

This leader will own the operational backbone of product content: the workflows, tools, governance, and quality systems that ensure content is sourced, processed, validated, and delivered reliably into our products.

This role is responsible for defining and scaling the content operations model and content programs for the company, partnering closely with Product, Engineering, and Data teams to ensure that our content systems are efficient, scalable, and aligned with the needs of the product roadmap.

The ideal candidate brings deep experience managing large content or data ecosystems within technology products. They understand how operational rigor, automation, and strong governance unlock faster product innovation while maintaining data quality and trust.   They also have an understanding of how mapping and geospatial data work and can power the product experience.

This role will also play a key role in evolving how we incorporate automation, AI, and potentially community-driven data into our content pipeline over time.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

Own the operational system for product content

• Define and lead the operational strategy for how product content is sourced, processed, validated, and delivered into onX products.
• Establish scalable workflows, governance models, prioritization frameworks, and operational frameworks that support content quality, reliability, and speed to product.

Build and lead the content operations organization

• Lead and develop a team responsible for content operations and business processes, including content analysts, curation specialists, and quality reviewers.
• Build organizational structure, capabilities, and operating rhythms that support scale and operational excellence.

Design scalable content platforms and processes

• Partner with Engineering and Data Engineering to design and evolve systems for content ingestion, processing, transformation, and delivery.
• Ensure that content workflows integrate cleanly with product development and release cycles.

Drive operational rigor and quality

• Define content quality standards, validation processes, and governance models that maintain trust in onX data.
• Implement monitoring, reporting, and feedback loops to ensure content readiness and product reliability.

Scale content operations through automation and AI

• Identify opportunities to automate manual workflows across ingestion, tagging, validation, and review.
• Understand leveraging AI and machine learning tools to improve efficiency, data quality, and operational scalability.

Enable new product experiences through content

• Collaborate with Product and Engineering leaders to translate emerging content opportunities into scalable operational systems.
• Ensure the content ecosystem supports evolving product capabilities and new customer experiences.

Evolve the company’s proprietary data programs

• Oversee programs that contribute to onX’s proprietary content advantage, including partnerships, datasets, and emerging content sources.
• Explore opportunities to incorporate community or user-generated data into the content ecosystem in a structured and scalable way.

Measure and continuously improve the system

• Define and track operational metrics related to content throughput, quality, coverage, and reliability.
• Use data and user insights to continuously refine content workflows and operational performance

• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 12+ years of operations leadership experience, including 4+ years driving content operations, data operations, and process management, and 5+ years leading and managing teams within scaling technology organizations.
• Experience working with data-intensive products.
• Demonstrated success in implementing BPM frameworks and continuous improvement methodologies.
• Experience with workflow management systems, content curation and review platforms, data QA tools, and automation and AI solutions.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel 6+ times annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Master's degree or equivalent experience.
• Familiarity with geospatial principles and spatial databases
• Experience with multi-platform content delivery (web, mobile, app).
• Experience within the outdoors or location-based services industry.
• Familiarity with AI/ML tools for content tagging, validation, or automation.
• Experience managing user-generated content or community-driven datasets.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. Applicants can expect to make between $180,000 to $224,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

The Account Management Team @ Pave

At Pave, our Account Management team is the engine behind customer retention and growth. We work with some of the most innovative companies in the world — helping them build smarter compensation programs, make data-driven decisions, and get the most out of the Pave platform. Our AMs aren't just relationship managers; they're trusted advisors who understand their customers' business deeply and bring real commercial value to every interaction. As we scale, we're looking for a Director of Account Management to lead this team, raise the bar on what great looks like, and own the retention and expansion outcomes that sit at the heart of Pave's growth story.

What You'll Do

• Own the number. Take full accountability for GDR and NDR across Pave's core customer base, actively managing the health of the book and driving the team toward 90%+ GDR and 110%+ NDR targets.
• Lead and develop a high-performing AM team. Coach, mentor, and performance manage a team of Account Managers — building the culture, habits, and skills needed to retain and grow customers at every stage of the lifecycle.
• Build scalable AM processes. Design and implement account coverage models, renewal forecasting frameworks, and customer health scoring that give the team a clear, repeatable playbook for managing their book of business.
• Drive expansion and advocacy. Partner with Sales to identify and convert expansion opportunities, and turn your most satisfied customers into active Pave champions — references, case studies, and pipeline contributors.
• Develop a scaled motion for the long-tail. Establish an efficient, low-touch coverage model for downmarket and pre-ICP customers that preserves retention without over-indexing resources.
• Champion the voice of the customer internally. Synthesize AM feedback, escalations, and product gaps into actionable input for R&D, ensuring the roadmap reflects what matters most to Pave's customer base.
• Partner cross-functionally. Serve as the primary CS stakeholder in Sales, Marketing, and R&D partnerships — from smooth handoffs at close, to sourcing customer stories for marketing, to representing CS in company-wide planning.

What You'll Bring

• 7+ years of post-sales experience in B2B SaaS, with at least 3 years in an AM leadership role owning a team and retention/expansion metrics.
• A demonstrated track record of improving NDR and GDR at a company with a comparable ACV and ARR profile — you've owned the number and hit it.
• Strong commercial instincts — you're comfortable leading renewal negotiations, navigating executive-level relationships, and coaching your team to do the same.
• Experience building and scaling AM processes from the ground up, including coverage models, health scoring, and forecasting — you don't just manage, you build.
• A proven ability to recruit, develop, and performance manage high-performing AM teams — you know how to raise the floor and the ceiling.
• Deep cross-functional credibility — you've worked closely with Sales, Product, and Marketing and know how to get things done across organizational lines.
• Strong communication and executive presence — you represent the customer at the leadership table and can hold your own in front of a VP or C-suite stakeholder, both internally and externally.
• Experience at a high-growth startup is strongly preferred — you're comfortable with ambiguity, can build in a fast-moving environment, and thrive without a fully-defined playbook.

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Targeted cash compensation for this role: $280,000 OTE

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
• Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
• Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
• Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.