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 EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. Our customers are utilities managing a complex electrical grid, supporting the daily lives of millions of people. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

About the Opportunity 

You’ll play a central role between Technical, Product, and Go-to-Market teams in support of EnergyHub’s growth and success.

For a mid-career professional dedicated to climate work, this role is a powerful opportunity to directly accelerate the clean energy transition. You will combine your technical and business expertise to architect solutions that convert distributed energy resources (DERs) into reliable virtual power plants, placing you at the forefront of the fight to stabilize the grid and reduce carbon emissions.

Sales Engineers at EnergyHub operate at the intersection of our client-facing, product and technical teams, enabling solutions that sit between market demands and product capabilities. This Senior Sales Engineering role will become an expert in the advancing world of distributed energy resources (DERs), combining technical and business acumen to design solutions involving the dynamic control of electric vehicle charging, smart thermostats, stationary batteries, and other connected devices to deliver value to utility clients. You will also hone client-facing sales skills while serving as the liaison to your colleagues in product, business development, and program delivery -- ensuring the development of cross-functional knowledge and expertise. 

Main Responsibilities

• Serve as a product expert within the Commercial team, understand the needs of EnergyHub’s growing base of utility clients and pair them with technical or service solutions
• Conduct discovery with prospective and existing clients on business requirements and key pain points
• Work closely with the Product team to design solutions that deliver compelling ROI
• Architect and deliver on opportunities for improving EnergyHub’s proposal, contracting, and delivery process with AI and automation tools
• Facilitate customer feedback so that EnergyHub’s Product team can inform the roadmap
• Work closely with EnergyHub’s product and marketing teams to ensure that EnergyHub is delivering the right message to the market
• Convey the value of EnergyHub’s platform, services, and program offerings to clients and prospects

Key Skills and Experience

• Bachelor's degree and 5-7 years of experience in technical, enterprise software sales, product management, or related fields
• Energy industry preferred, particularly demand side or DER management
• Strong sense of curiosity and a mission to learn
• Incredible project management and organizational skills
• Comfort communicating cross-functionally and externally with clients
• Experience with platform integrations, APIs, data transfers preferred
• Ability for periodic travel (~10%) for client visits, prospect demos, industry conferences
• Experience or data fluency with SQL or Python, Cloud BI tools, and AI agents preferred
• Experience with enterprise-level process management tools preferred

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

The base salary range for this position is $110,000 - $140,000. The role is also eligible for an uncapped, variable compensation target of $34,000, for an OTE target of $174,000, with uncapped earning potential above that threshold. The base salary range of this opportunity is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

Company Benefits

EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

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.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

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. 

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

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

#LI

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.

ABOUT THIS ROLE

As Data Engineer, AI, you will play a key role in building and advancing LVT’s data platform — contributing across the full data engineering lifecycle, from ingestion and transformation to semantic modeling and delivery — while also helping build the data infrastructure that powers LVT’s AI initiatives, including RAG pipelines and Snowflake Cortex models. This is a core engineering role with an AI edge: you’ll keep the data platform running with precision and reliability, and you’ll be the person who makes sure our AI systems have the clean, well-structured data they need to perform.

LVT is a flexible-first company. This role can be performed remotely, with a preference for candidates who can work from our American Fork, UT office.

ROLE RESPONSIBILITIES

• Design, build, and maintain scalable ELT pipelines that move data reliably from source systems into a clean, well-governed data platform.
• Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces.
• Own data quality — implement validation, monitoring, and alerting frameworks that catch problems before they reach stakeholders.
• Optimize Snowflake performance across ingestion, transformation, and storage, including dynamic tables, clustering, and query tuning.
• Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines.
• Collaborate with AI/ML engineers to support Snowflake Cortex model development with well-structured, context-rich training and inference data.
• Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions.
• Document data architecture, pipeline design, and modeling decisions to support team knowledge and long-term maintainability.

OUR IDEAL CANDIDATE

• Data Engineering Foundation: 5+ years building and maintaining production-grade pipelines using SQL, Python, and modern ELT tools such as dbt, Fivetran, or Airflow.
• Snowflake Proficiency: Deep hands-on experience with Snowflake, including performance optimization, dynamic tables, and familiarity with Cortex AI capabilities.
• Semantic Modeling Experience: Ability to design and maintain semantic or metrics layers that enforce consistent business logic across the organization.
• AI Infrastructure Awareness: Working knowledge of RAG architectures and the data patterns — chunking, embedding, retrieval — that support LLM-driven applications.
• Data Quality Ownership: Strong instinct for reliability — you instrument pipelines with observability and validation from the start.
• End-to-End Mindset: Comfortable owning work from scoping through production — you define the problem, build the solution, and stand behind the outcome.
• Collaborative Communicator: Able to work fluidly with engineers, analysts, and non-technical stakeholders, translating ambiguity into clear data solutions.

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 the Role

We’re looking for a Senior Data Engineer to design, build, and optimize our data platforms so teams across the company can make fast, reliable, data-driven decisions. You’ll be a key technical leader, owning end-to-end data pipelines and modeling, and setting best practices around how we work with data.

You’ll work heavily with Databricks, Spark, SQL, and Python, building scalable data solutions that power analytics, reporting, and data products. Experience in payments or financial services is a strong plus.

What You’ll Do

• Design and build data pipelines
• Develop, maintain, and optimize ETL/ELT pipelines on Databricks and Spark.
• Integrate data from multiple internal and external sources into a centralized data platform.
• Own data modeling & architecture
• Design and maintain robust data models (e.g., star/snowflake schemas, data vault, dimensional models) to support analytics and self-service BI.
• Establish and enforce data modeling standards and documentation.
• Ensure data quality, reliability, and performance
• Implement data quality checks, validation frameworks, and monitoring.
• Tune queries and jobs for performance and cost efficiency in Databricks and downstream systems.
• Collaborate and lead
• Partner with data analysts, data scientists, and product/engineering teams to understand data needs and translate them into technical solutions.
• Provide technical leadership and mentorship to other data engineers; help review designs and code.
• Governance & best practices
• Contribute to and refine our data governance, security, and access control practices.
• Drive best practices around version control, CI/CD for data, and code standards.

Required Qualifications

• 7+ years of professional experience as a Data Engineer, Software Engineer, or similar role.
• Strong hands-on experience with Databricks (or a very similar cloud data platform) including cluster management, jobs, and notebooks.
• Advanced experience with Apache Spark for batch and/or streaming data processing.
• Expert-level SQL skills (complex joins, window functions, query optimization).
• Strong Python skills for data engineering (e.g., PySpark, data processing libraries, scripting).
• Proven experience in data modeling and designing schemas for analytics and reporting.
• Experience building and maintaining data pipelines in a cloud environment (AWS, Azure, or GCP).
• Strong understanding of data warehousing concepts, ETL/ELT best practices, and data lifecycle.
• Solid software engineering fundamentals: version control (git), testing, code reviews, and CI/CD.
• Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.

Nice to Have

• Experience in payments, fintech, banking, or broader financial services (e.g., transaction data, ledgers, risk, fraud, reconciliation).
• Experience with streaming technologies (e.g., Spark Structured Streaming, Kafka, Kinesis, or similar).
• Familiarity with dbt or similar transformations-as-code frameworks.
• Experience with orchestration tools (e.g., Airflow, Databricks Workflows).
• Knowledge of BI tools (e.g., Power BI, Tableau, Looker) and how data models power them.
• Exposure to machine learning workflows and supporting data science teams.
• Experience implementing data governance, lineage, and catalog tools.

What You’ll Bring

• A product mindset: you think about the end users of data and build with usability in mind.
• A bias for automation, reliability, and scalability over one-off solutions.
• Comfort with ambiguity, ownership of complex problems, and a desire to continuously improve the data ecosystem.

What We Offer

• 401k investment opportunity, with company match   
• Medical, Dental, and Vision Plans
• Paid Time Off   
• Paid Parental Leave
• Paid Volunteer Leave

Role Information: 

• Full-Time, On-site, Provo

ABOUT THIS ROLE

LVT is seeking a strategic, systems-thinking Senior Product Manager to own LVT's flagship product: the Mobile Security Unit (MSU). The MSU is the industry-defining platform that put LVT on the map — a ruggedized, AI-powered mobile surveillance system deployed across thousands of customer sites nationwide. As Senior PM of the MSU, you are the product visionary and operator for this business-critical platform. You will drive both its ongoing evolution through a forward-looking enhancement roadmap and its long-term health through disciplined fleet lifecycle management.

You will sit at the intersection of Hardware Engineering, Software, Service Operations, and Data Analytics — translating field intelligence, customer needs, and technical capability into a product roadmap that keeps the MSU the undisputed leader in mobile security.

RESPONSIBILITIES

Product Strategy & Roadmap

• Own the MSU product roadmap end-to-end, balancing new capability development, hardware enhancements, and fleet sustainment in a cohesive multi-year plan aligned to LVT's software and AI strategy.
• Identify and prioritize enhancement opportunities — new sensors, AI/ML integrations, connectivity upgrades, power innovations — that extend MSU's competitive differentiation and open new market segments.
• Define and communicate the MSU product vision to internal stakeholders, customers, and partners.
• Partner with Sales, Marketing, and Business Development to drive continued MSU market growth — identifying expansion opportunities, informing pricing and packaging strategy, and ensuring the product roadmap directly supports LVT's revenue and market share goals.

Product Enhancement & Innovation

• Lead discovery and definition for MSU hardware and systems enhancements, working closely with Hardware Engineering, Software, and AI teams to bring new capabilities to market.
• Develop business cases for capability investments, including market sizing, competitive analysis, and ROI modeling.
• Partner with Sales and Marketing to equip the go-to-market team with compelling MSU positioning as enhancements ship.

Fleet Sustainment & Lifecycle Management

• Manage the full lifecycle of the deployed MSU fleet, ensuring thousands of units in the field remain high-performing and reliable — from active platform optimization through end-of-life transitions.
• Proactively manage component lifecycles (modems, sensors, power systems), leading make/buy validation for drop-in replacements to ensure zero supply chain or field downtime.
• Lead development of modular hardware refresh kits that enable older MSU units to support modern AI/ML capabilities through cost-effective field upgrades rather than full replacements.
• Use fleet telemetry and health dashboards to drive predictive maintenance cycles and engineering changes that measurably improve uptime and MTBF.

Stakeholder Partnership & Unit Economics

• Act as the primary product interface for Hardware Engineering, Service Operations, and Field Teams — ensuring the MSU is designed for both performance and serviceability, with field technician feedback informing every development cycle.
• Build and defend business cases for fleet investments, balancing enhancement capital against retrofit and TCO reduction initiatives.
• Drive unit economics improvements through durability gains, power consumption reductions, and lower field service costs; travel up to 15% for customer visits, field operations, and supplier engagements.

REQUIRED EXPERIENCE

• 5+ years of Product Management experience, with a track record of owning a complex hardware or hardware/software product — including both roadmap development and in-field lifecycle management.
• Hardware/Software Systems Fluency: Experience managing products involving a deep integration between embedded electronics (cameras, sensors, modems) and AI/ML services.
• Product Roadmapping & Discovery: Demonstrated ability to build and prioritize a multi-horizon product roadmap, balancing new capability investment with platform sustainment.
• Operational & Financial Acumen: Ability to build business cases for enhancement investments, retrofit programs, and capital expenditure decisions with clear ROI framing.
• Technical Depth: Familiarity with embedded electronic products, power management (solar/battery), and communication interfaces (LTE/5G, Ethernet, PoE).
• Data & Analytics Proficiency: Experience using BI tools (Tableau, Looker, or Power BI) to analyze fleet telemetry and inform product decisions.
• Vendor & Supply Chain Management: Proven ability to manage hardware vendors, conduct make/buy analyses, and navigate component end-of-life cycles.
• Leadership & Influence: Demonstrated ability to align and lead cross-functional teams across Engineering, Field Service, Sales, and Finance without direct authority.
• Education: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Operations Management, or a related technical field. An MBA or advanced technical degree is a plus.

The Role

Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

What You’ll Do 

NetDocuments is seeking an execution-focused Lead Product Manager to drive the build and delivery of our next-generation web experience platform for legal professionals. Reporting to the Director of Product Management, this leader will own end-to-end product execution while collaborating with two product managers to implement scalable product strategies and workflows that can be deployed org-wide. The ideal candidate will excel at translating vision into measurable outcomes, leading by example with empowered team principles, and operating with the freedom and responsibility that defines how we work. If you thrive in an empowered environment where context trumps control and outcomes matter more than outputs, we'd love to talk to you.   

You will: 

• Execute full product delivery lifecycle for our web experience platform, ensuring reliable releases that drive measurable user engagement and business impact. 
• Lead continuous discovery through regular customer interviews and rapid experimentation, maintaining deep connection with legal professionals' evolving needs. 
• Work alongside 2 product managers to implement product strategies and workflows with potential for org-wide deployment, leading by example with empowered team principles that drive consistent business outcomes.  
• Operate as part of empowered product teams with engineering and design, focusing on solving customer problems rather than building prescribed features.  
• Navigate complex technical dependencies across multiple teams and Microsoft Office integrations while maintaining velocity and product excellence. 
• Champion modern product practices including outcome-focused metrics, assumption testing, and customer-centric decision making throughout the organization.  
• Practice radical candor in all interactions, providing direct feedback that accelerates team performance while building trust through transparency. 
• Drive product strategy for your domain based on customer insights, market data, and technical capabilities, making strategic bets that maximize business outcomes.  
• Influence without authority across cross-functional teams, aligning diverse stakeholders around shared goals and priorities.  
• Model continuous learning and intelligent risk-taking, fostering an environment where failure advances understanding and innovation thrives. 

What You’ll Need to be Successful 

• 7+ years of product management experience with proven track record executing complex, multi-quarter platform initiatives that required coordination across multiple teams. 
• Strong technical fluency and experience with enterprise content management systems, document workflows, or professional services software.  
• Hands-on experience with LLM-based product development and related technologies such as semantic indexing, RAG systems, and AI-powered document intelligence applications.  
• Deep understanding of Microsoft 365 ecosystem and enterprise integration patterns, with familiarity in AI/ML applications for content management.  
• Comfort operating in high-autonomy environments where you receive context and strategic direction but determine execution approach independently. 
• Experience with modern product development practices including agile methodologies, feature flags, A/B testing, and instrumentation for data-driven decisions.  
• Legal technology, regulatory compliance, or highly regulated industry experience strongly preferred but not required. 

What You’ll Love About NetDocuments  

• The People! 
• 90% healthcare premiums company covered  
• HSA company contribution  
• 401K match at 4% with immediate vesting  
• Flexible PTO (typically 3 to 4 weeks a year)  
• 10 paid holidays  
• Monthly contributions for life activities & wellness  
• Access to LinkedIn learning with monthly dedicated time to explore 

Compensation Transparency 

The compensation range for this position is: $160,000 - $180,000 

The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations. 

ABOUT THIS ROLE

We're looking for a talented Technical Recruiter who's ready to own meaningful work and make a real impact on how LVT grows. This isn't a role where you're handed a playbook and told to execute; you'll be a genuine talent partner to technical leaders, a sharp advisor who understands the market, and a recruiter who knows how to find and attract people who aren't looking.

You'll recruit across Engineering, Information Security, IT, and Product, with the flexibility to pivot where the business needs you most. You'll also have a hand in building something lasting: improving the systems, processes, and strategies that make our TA team sharper over time.

This role is based out of our office in our headquarters in American Fork, Utah. 

ROLE RESPONSIBILITIES

• Full-Cycle Technical Execution: Own the end-to-end recruitment process for technical roles, across Information Security, IT, Engineering, Product, and UX. Ability to lean into other areas of the business as needed. 
• Strategic Talent Partnership: Act as a trusted advisor to technical hiring managers and senior leadership, providing market insights and data to help shape hiring strategy and optimize hiring performance.
• Advanced Sourcing & Engagement: Utilize sophisticated outbound sourcing techniques to identify and attract top-tier passive talent within the SaaS, AI, and IoT industries.
• Collaborative Process Improvement: Partner with the broader TA team to refine interview rubrics, technical assessments, and sourcing playbooks that improve quality of hire.
• Candidate Experience Advocacy: Ensure every technical candidate has a high-touch, professional experience that accurately reflects LVT’s brand values and innovative mission.
• Data-Driven Execution: Leverage ATS data and recruiting metrics to manage your pipeline efficiently, providing visibility into hiring progress and market trends to stakeholders.
• Team Contribution: Mentor and share specialized technical recruiting knowledge with the wider TA team to elevate the collective expertise of the department.
• Cross-Functional Support: Flex into other business areas as needed, providing consistent, high-level recruiting support across all LVT domains.

OUR IDEAL CANDIDATE

• Experienced Technical Recruiter: 5+ years of recruitment experience in high-growth companies, with a track record of success in technical recruiting. You've worked hard roles, navigated competitive markets, and know what good looks like.
• Domain Expertise: Proven success hiring senior engineers, niche IT and Information Security roles, AI/ML Engineers, and Product Managers. You understand what these people do and what it takes to earn their attention.
• Advisor Mindset: You build credibility with technical leaders by bringing honest market data and a point of view they can trust, not just telling them what they want to hear.
• Masterful Sourcer: High proficiency with LinkedIn Recruiter, Boolean, and advanced sourcing techniques. You know how to find people who aren't looking and make them genuinely curious about LVT.
• AI-Forward: You actively use AI tools to work smarter across sourcing, outreach, and pipeline management. You're already figuring out how AI is changing recruiting, not waiting to see.
• High-Motor and Results-Driven: You bring energy and urgency without needing someone to light the fire. You measure yourself by outcomes, not activity.
• Positive and Solutions-Oriented: When things get complicated, you focus on what's possible. You adapt without drama and keep momentum going for candidates and hiring managers alike.
• Growth Mindset: You treat recruiting as a craft worth improving. You reflect, seek better approaches, and bring those insights back to the team.
• Collaborative: You share what you learn, ask good questions, and make the team better by being in it.
• Autonomous and Accountable: You manage complex pipelines independently and take full ownership of outcomes.

About the role

We need a Product Management Intern for Summer 2026 to work on our vertical AI solutions. You'll join our product team to solve problems for specific industries like home services, auto dealers, and healthcare providers.

You'll work directly with our product managers to build AI-powered features that address real business challenges in these verticals. Your work will impact thousands of local businesses that use Podium daily.

What you will be doing:

• Research vertical-specific workflows to identify where AI can have the biggest impact
• Become an expert in the operations of locally run businesses
• Help develop knowledge bases and decision trees for industry-specific AI agents
• Create metrics to measure AI performance in different vertical contexts
• Work with engineers to test and refine vertical AI features
• Talk directly with customers to gather feedback on our vertical solutions
• Identify key integration points with industry-specific systems and partners
• Implement practical data-powered AI tools – not just another chatbot

What you should have:

• Student in Computer Science, Information Systems, Analytics or similar fields graduating between Jan - December 2026
• Demonstrated experience building with AI technologies through coursework, side projects, or hackathons (e.g., creating custom LLM applications, fine-tuning models, or developing AI-driven solutions)
• Basic understanding of data analysis and machine learning concepts
• Familiarity with at least one business vertical (auto, healthcare, home services) is a plus
• Strong analytical thinking and clear communication skills
• Comfortable with ambiguity and fast-paced environments
• Team player who takes responsibility and shares credit

What you’ll learn: 

• How to work with LLMs and agent-based AI systems
• Methods for integrating with vertical-specific software systems and data
• Techniques for evaluating AI performance in real business contexts
• Approaches to product development in a fast-growing AI company
• Skills for translating customer needs into AI product requirements

Benefits

• (If local to Utah) Work in this building in Lehi, UT 5 days a week
• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

ABOUT THIS ROLE 

As the Sr. Manager of Data Engineering and Architecture, you will be a hands-on leader responsible for defining and executing the data engineering strategy, architecture, and technology stack. You will be responsible for the foundational data infrastructure that powers analytics and decision-making across the organization.

A critical part of this role will be building, mentoring, and managing a team of 3 data engineers. You will guide the team's efforts while also contributing directly to the development of our modern data warehouse in Snowflake using dbt and SQL, transforming raw data into reliable and accessible datasets. Crucially, you will spearhead the data migration efforts for our ongoing Oracle Fusion Cloud deployment, designing a robust, cohesive data ecosystem that bridges our new Oracle environment with Snowflake.

Your leadership will ensure the successful design, build, and maintenance of robust data pipelines that ingest data from a variety of internal and external sources into Snowflake. Your team's work will support reporting, dashboarding, and analysis across the company, enabling teams to make informed decisions based on trusted data. Given the green-field nature of this initiative, the role is expected to be approximately 30% technical leadership, strategy, and people management, and 70% direct, hands-on engineering and architecture.

This position is based in a hybrid work environment and requires regular in-office collaboration. It offers an opportunity to lead with modern data tools, build a high-performing team, and make a direct, strategic impact on data quality and accessibility during a massive phase of enterprise scaling.

ROLE RESPONSIBILITIES

• Data Strategy & Architecture: Define the long-term vision, strategy, and architecture for the company’s data platform. Design a cohesive hybrid architecture that maximizes the strengths of our full tech stack, ensuring it drives measurable business value and scales efficiently to support hyper-growth.

• Team Leadership & Management: Build, mentor, and manage a team of 3 data engineers, fostering a culture of technical excellence, accountability, and continuous improvement.

• Data Modeling & Transformation: Lead the team in building and maintaining robust data models using dbt and SQL that support complex analytics and reporting needs. Contribute directly as an individual contributor as needed.

• Snowflake Development: Oversee the design and optimization of the Snowflake data warehouse to ensure performance, scalability, and usability. Participate directly in key development efforts.

• Cross-Functional Collaboration: Act as the primary technical partner to analysts, business stakeholders, and data teams to deeply understand requirements and translate them into strategic engineering solutions and delivery plans.

• Performance Tuning: Guide the optimization of SQL queries and data transformations to improve execution speed and resource efficiency across the platform.

• Tooling & Automation: Identify, evaluate, and implement opportunities to automate data workflows, improve pipeline reliability, and establish a formal DataOps/MLOps framework using modern orchestration tools (e.g., Airflow, Prefect, cloud-native serverless functions).

• BI Tool Support: Ensure the team provides clean, well-structured data models to enable effective use of BI tools like Looker, Sigma, Tableau, or similar platforms.

• Pipeline Engineering: Direct the development and maintenance of scalable data ingestion pipelines that pull data from APIs and other sources into Snowflake, including exploring solutions for near real-time data feeds.

• Data Governance & Quality: Champion best practices in data governance, data lifecycle management, and dimensional modeling. Implement data validation checks, documentation standards, and lineage tracking to maintain high data integrity across all of our systems.

• Oracle Fusion Cloud Migration & Integration: Lead the complex data migration strategy for our active Oracle deployment. Architect, build, and maintain secure, high-performing data flows and syncs between Oracle and Snowflake to ensure operational continuity and analytical excellence.

OUR IDEAL CANDIDATE

• Experience: 8+ years in data engineering or related roles, with a strong focus on data modeling and pipeline development.

• Education: Bachelor’s degree in Computer Science, Engineering, Data Analytics, or a related field.

• Technical Skills:

  • Proven experience leading complex data migration or implementation projects.

  • Advanced proficiency in SQL and experience with data modeling (e.g., star/snowflake schemas).

  • Hands-on experience with dbt for building modular and testable data transformations.

  • Experience developing data pipelines using Python and workflow orchestration tools (e.g., Airflow, Prefect).

  • Deep understanding of Snowflake.

  • Demonstrated ability to design and implement a modern data architecture from scratch.

• BI & Analytics Tools:

  • Familiarity with BI platforms such as Looker, Tableau, or Sigma is helpful.

• Infrastructure & Governance:

  • Understanding of ELT/ETL workflows, data governance, and monitoring practices.

  • Experience defining and enforcing organizational standards for data quality, metadata management, and cost optimization within a cloud data warehouse (Snowflake).

• Communication & Problem Solving:

  • Ability to clearly explain technical details to both technical and non-technical stakeholders.

  • Strong analytical and debugging skills; attention to detail in code and data quality.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

The Role:

We are looking for a Utah licensed Clinical Pharmacist to join a strong team of clinicians, analysts, clinical support staff, and trainees to utilize Arine’s software platform and to help optimize patient outcomes for our clients. The purpose of this position is to provide an expert level medication therapy consultation to the patients and providers, collaborate with the Engineering team and leadership to improve Arine’s software platform, and to help supervise the Clinical Care support team. This candidate will have a direct impact on patient care and the delivery of our core clinical services, stay continuously up-to-date on developments in the fast-moving drug field, and be aware of emerging patterns, treatment guidelines, and best practices. 

The Clinical Pharmacist receives assignments and functions under the supervision of the Head of Operations to carry out and supervise direct patient care responsibilities and perform a range of functions that include the maintenance and review of patient medication profiles; counseling patients on appropriate drug use; promoting adherence; developing clinical recommendations; reviewing completed medication reviews by other Virtual Pharmacist users; as well as interacting with other health professionals to help improve patient outcomes. 

Job duties also include assisting with orienting new team members and Virtual Pharmacist users, facilitating prior authorizations, helping patients with finding financial assistance and transportation to help increase medication adherence, review and evaluate clinical guidelines and workflow processes as assigned. 

All members of the Clinical Care team are expected to communicate effectively, maintain a cooperative working relationship with clients and colleagues, be respectful and accept constructive feedback professionally, and continuously learn new skills to deliver quality customer service and patient care.

What You’ll be Doing:

• Evaluate, assess, and document patient data in Arine’s software platform and other programs, prepare written reports, and provide oral reports concerning patient care and team progress
• Complete efficient and thorough medication review and/or adherence counseling appointments
• Review completed medication reviews and counseling by other Virtual Pharmacist users, as assigned
• Staff various clinical shifts and work with automation and new technology 
• Respond to questions by patients, providers, and other professional personnel and team members
• Participate in process improvement meetings to help achieve efficient workflows
• Communicate effectively in both written and oral formats and provide daily sign-out when applicable
• Follow-up with clinics, providers, pharmacies, and patients to resolve patient issues and concerns in a timely manner
• Develop intervention strategies to optimize medication utilization, achieve quality measures, and other established goals
• Identify opportunities for improvement regarding workflow processes and Arine’s software platform
• Assist with obtaining referrals and authorizations 
• Guide and help oversee other Clinical Care team members
• Orient new Virtual Pharmacist users to workflows and the Virtual Pharmacist
• Evaluate and help develop clinical algorithms 
• Comply with all company policies and state and federal rules and regulations

Who You Are and What You Bring:

• Doctor of Pharmacy (PharmD) from an accredited college/university
• Utah Licensed Pharmacist and in good standing (multiple state licenses are a plus)
• Completion of a PGY-1 residency, or equivalent experience  
• Ability to review and assess the appropriateness of prescriptions with respect to age specific, disease state specific considerations
• Ability to engage with the patients, promote adherence and treat them with empathy and compassion
• Ability to organize and set priorities which accurately reflect the relative importance of job responsibilities
• Knowledge of chronic disease states, such as diabetes, heart failure, COPD, asthma, cardiovascular disease, hypertension, dyslipidemia, anxiety, depression, bipolar disorders, and thought disorders
• Ability to apply judgment and make informed decisions in order to work independently and meet deadlines
• Ability to work effectively within a team and foster effective working relationships and build consensus
• Experience working with patients of different cultural, religious, and socio-economic backgrounds
• Has knowledge of influence of patient’s age, sex, concomitant disease states, concurrent drug therapy, foods and diagnostic procedures on drug activity and disposition
• Has knowledge of local, state and federal regulatory requirements related to areas of functional responsibility
• Has knowledge of prescription and non-prescription drugs and drug products and their indications, efficacy, dosage, mechanisms of action, major contraindications and potential side effects
• Willingness and ability to obtain registered pharmacist license in other states, as needed
• Excellent written and oral communication skills
• Strong computer skills, including proficiency in Google Workspace and Mac (Apple) environment, with comfort using collaboration and contact-center tools such as Slack and Five9, navigating multiple browser-based systems simultaneously, utilizing keyboard shortcuts, maintaining a high typing speed (WPM), and performing basic technical troubleshooting to stay productive in a phone-based environment
• Ability to work 40 hours/week (within company operating hours of Monday-Friday, 6AM-6PM Pacific Time, with up to two rotating Saturday shifts/month)

Nice-to-Haves:

• Experience with other electronic medical records
• Board certification in a specialty area
• Experience working in a busy healthcare environment 

Remote Work Requirements:

• An established private work area that ensures information privacy
• Reliable internet capable of low latency with the ability to carry video and voice calls without breaking up
• This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

This position is temp-to-hire for an expected duration of 6 months, with the possibility of extension or conversion to a permanent role based on performance and business needs. Throughout the temporary period, you will receive full benefits starting from day one.

The posted range represents the expected hourly rate for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The hourly pay rate for this position is: $57-65/hour.

Seasonality & Schedule:

Our Clinical Care team operates within a seasonal business cycle, and we want candidates to have a clear picture of what to expect. During peak season (May through early December), our team plays a vital role in supporting business operations. Workload and scheduling demands increase during this time, and time off may be limited. Optional overtime may also be offered to meet business needs. Each year, the Clinical Care department observes a holiday shutdown of approximately 2–3 weeks between late December and early January. Please note that while Arine remains operational, the Clinical Care department is closed during this period. Following the shutdown, the team transitions back to full capacity on a modified schedule through February, during which some shifts or hours may differ from standard operations. We value transparency and encourage candidates who thrive in dynamic, seasonal environments to apply.

Breeze is hiring- join us!

The Director Cybersecurity, Data Privacy, & Compliance leads the enterprise cybersecurity, data privacy, and data governance programs while ensuring regulatory compliance across all operational and commercial functions of Breeze Airways. This role defines and executes the organization's information security strategy, establishes and matures the enterprise data privacy and governance framework, ensures compliance with applicable federal, state, and international privacy regulations (including CCPA/CPRA, state privacy laws, and GDPR where applicable), and oversees aviation-specific regulatory compliance obligations related to data and technology (including DOT, TSA, and FAA requirements). The Director also provides strategic oversight for responsible AI/ML governance as the organization adopts emerging technologies. This responsibility extends into all business units within the organization including airport systems, maintenance and engineering, inflight, aircraft, safety, commercial, back office, infrastructure, and cloud.

Here's what you'll do

• Set the strategy for new technologies and information security products that will support information security requirements for the company and its customers, business partners, and vendors.
• Establish the strategy to mitigate information security risks within the organization.
• Collaborate closely with senior-level technology leaders to develop and plan the information security architecture strategy.
• Lead ongoing threat and vulnerability assessments and substantive testing of information security controls.
• Work closely with other teams, including network engineers, data engineers, software engineers, and business teams to achieve common goals.
• Serve as the escalation point and information security expert for solution designs and technical consulting services.
• Direct complex information security principles and requirements into business initiatives that securely drive innovation, improve customer experience, and control costs
• Oversee and perform technology security risk assessments
• Perform due diligence reviews and manage the remediation efforts of SOC 1/SOC 2 reports, penetration tests, and PCI audits.
• Develop, implement, and maintain the enterprise data privacy program, including privacy policies, standards, and procedures aligned with applicable laws and regulations (CCPA/CPRA, state privacy laws, GDPR where applicable, and emerging federal privacy legislation)
• Guide to the Data Subject Access Request (DSAR) and individual rights management process.
• Lead Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs) for new systems, applications, vendor engagements, and business initiatives
• Champion privacy-by-design and privacy-by-default principles across technology, business partners and business projects.
• Direct the organization's data breach notification and incident response process in coordination with Legal, Communications, and executive leadership, ensuring compliance with all applicable breach notification requirements.
• Manage and deliver enterprise-wide privacy awareness training and education programs.
• Evaluate and manage privacy risks associated with third-party vendors, business partners, and data processors through contractual controls and ongoing monitoring.
• Establish and lead the enterprise data governance framework, including data ownership, data stewardship, and accountability models across business units.
• Define, develop, and implement data security and governance standards including data classification, encryption, data loss prevention, data access governance for structured and unstructured data, and monitoring to prevent data-related security incidents.
• In coordination with the data analytics team, refine data quality standards, and partner with business and technology teams to ensure data integrity across critical systems.
• Develop and implement policies and frameworks for the responsible and ethical use of artificial intelligence and machine learning technologies across the organization.
• Assess and manage risks related to AI/ML models, including data bias, algorithmic fairness, transparency, and explainability.
• Ensure AI/ML initiatives comply with emerging regulatory requirements and industry best practices for responsible AI.
• Collaborate with data science, business teams, data and software engineering, to embed governance controls into the AI/ML development lifecycle.
• Ensure compliance with aviation-specific regulatory requirements related to data, technology, and cybersecurity, including DOT, TSA, and FAA mandates.
• Monitor and assess the impact of evolving federal, state, and international regulations on the organization's cybersecurity, privacy, and data governance posture.
• Create, update, and improve upon key performance indicators gauging the company's level of compliance and provide reports to leadership.
• Maintain strong oversight of third parties and business partners to safeguard against undue risk and ensure contractual and regulatory compliance.
• Coordinate with Legal and other departments on regulatory examinations, audits, and inquiries related to cybersecurity, data privacy, and data governance.
• Other duties as assigned by the VP of Technology.
• Achieve performance measures and adhere to established standards in conjunction with Breeze Aviation Group Values of Safety, Kindness, Integrity, Ingenuity and Excellence.

Here's what you'll need to be successful

Minimum Qualifications

• 4-year degree in Computer Science, Systems Engineering, Information Technology, Management Information Systems, or a related discipline, or an additional 2+ years of training/experience in lieu of degree
• 8+ years of experience in information security, data privacy, data governance, or a related field
• 4+ years in a leadership role
• 2+ years of experience developing and implementing data governance frameworks, policies, and standards.
• 2+ years of experience with data governance tools and platforms (e.g., data catalogs, metadata management, DLP solutions)
• 2+ years of experience with privacy management platforms and DSAR automation tools
• Deep technical expertise in technology infrastructure, networking, cybersecurity, cloud computing, and enterprise systems architecture is a must
• Demonstrated knowledge of data privacy regulations (e.g., CCPA/CPRA, state privacy laws, GDPR) and experience building or managing a privacy compliance program is also required

Preferred Qualifications

• Industry certification in security (e.g., CISSP, CISM, CISA, and/or GIAC)
• Industry certification in privacy (e.g., CIPP/US, CIPP/E, CIPM, CIPT)
• Familiarity with aviation industry regulatory requirements (DOT, TSA, FAA) as they relate to data and technology
• Experience developing AI/ML governance frameworks or responsible AI policies
• Experience in a regulated industry (aviation, financial services, healthcare, etc.)

Skills/Talents

• Ability to work well under pressure, prioritize projects, meet deadlines, and maintain flexibility
• High level of integrity and ethics, able to handle sensitive and/or proprietary information with discretion and confidentiality
• Self-starter must have a positive attitude and strong desire for success
• Strong attention to detail, organization, and time management skills
• Ability to translate complex regulatory and technical requirements into actionable business policies and procedures
• Strong knowledge of privacy laws, data protection regulations, and compliance frameworks (NIST, ISO 27001, PCI DSS, SOC 2)
• Proven leadership and managerial skills, with the ability to inspire, motivate, and develop high-performing teams.
• Excellent oral and written communication skills, with the ability to present to executive leadership, regulators, and cross-functional teams
• Strong analytical and problem-solving abilities, with a focus on driving continuous improvement and innovation in technology systems and processes.
• Ability to work with individuals and teams at all levels in the organization
• Strong stakeholder management skills with the ability to influence without direct authority across business units
• Exemplifies Breeze's safety culture, values, and mission

Perks of the Job

• Health, Vision and Dental
• Health Savings Account with Breeze Employee Match
• 401K with Breeze Employee Match
• PTO
• Travel on Breeze and other Airlines too!

Staff AI Engineer

The Role

We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.
• Must be willing to work on site, 5 days per week.

What we hope you have

• 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Staff AI Engineer

The Role

We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.