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.

Who We Are:

Ivanti manages, automates, and protects data and technology to empower continuous innovation. Ivanti Neurons, our AI-powered platform for IT and Security teams, empowers IT and Security to work in lockstep. Headquartered in the U.S. with a truly global footprint, Ivanti serves 34,000 customers in 149 countries, delivering mission-critical IT security, asset, and service management capabilities.

Our award-winning software suite includes:

• Ivanti Neurons Platform
• Enterprise Service Management
• Endpoint Management and Security
• Exposure Management
• Network Security
• Robust native integrations and APIs

Learn more at www.ivanti.com and follow us on social media @GoIvanti. 

Our Culture 

At Ivanti, our culture is shaped by the values that inspire and guide us every day. We believe that the way we work—together, passionately, and authentically—is just as important as the results we deliver. Our core values foster collaboration, keep customers at our core, raise the bar for performance, and hold us accountable to the highest standards. Here’s what drives us:

Win Together: Open collaboration is the foundation for our success. Transparent communication, mutual trust, and strong alignment help us win as a unified team.

Customers at our Core: IT & Security teams are at the center of our customers’ innovation. We understand, value, prioritize, and obsess over our customers’ needs, to deliver the technology and services that move their businesses forward.

Achieve and Exceed: Performance drives us. We relentlessly pursue our goals, always striving to set new benchmarks of success on behalf of our customers, employees, partners, and investors.

Own It: Debate, decide, commit. We take responsibility for our actions and decisions—demonstrating commitment, integrity, high standards, and a drive for excellence in everything we do.

Why We Need You!

 Ivanti is currently seeking an enthusiastic hardworking Senior Software Engineer to develop computer management capabilities for IT departments throughout the world.  This person will be a cross-functional member working from the South Jordan, Utah Office. This individual should be able to collaborate well with others inside and outside of the team to build industry leading systems management software solutions.

About The Team

Ivanti Engineering is a driving force behind transforming market challenges into innovative ideas and successful solutions that resonate with customers and achieve business objectives. By combining market insights, strategic planning, and cross-functional collaboration, the Engineering organization ensures every product release meets evolving user needs and competitive demands. This team is instrumental in developing Ivanti's purpose-built platform for CIOs and CISOs powered by Ivanti Neurons - a cloud-scale, hyper-automation layer that enables proactive healing, user-friendly security across the organization and provides an enhanced user experience. This department plays a pivotal role in shaping the company's growth trajectory through continuous innovation and customer-centric solutions.

What you will be doing

Our product teams have a high level of autonomy, working as a close collaborative unit to solve challenges and be successful together. To make this work, our team members need to have good communication & problem-solving skills, be accountable, focus on what is important, treat each other with respect, have the courage to take risks, be pragmatic and open to challenges.

You will be working on the Ivanti Neurons cloud products. Building the future of Ivanti products in the cloud. Ivanti Neurons uses a micro service architecture running on Kubernetes.

• Design, develop, test, and deploy microservices using C#/.Net Core.
• Use Python, build MCP Servers, Build AI Agents, Prompt Engineering, Azure AI Foundry, working with LLMs.
• Design, develop, test, and deploy Web application using Angular.
• Interact with cross-functional groups including product manager, customer support and sales to develop new functionality and support existing customers.
• Interact and collaborate with teams around the world.
• Participate in all phases of the application development process

What you need to be successful

• Bachelor’s degree – Computer Science or related field.
• 6+ years software development experience
• Programming languages: C#, .Net, Python
• Experience with 
  • Using Python to build MCP Servers, Build AI Agents, Prompt Engineering, Azure AI Foundry, working with LLMs.
• Experience with modern cloud development practices (microservices architectures, REST interfaces, etc.)
• Track record of delivering successful software
• Strong software design and development experience
• Strong understanding of concepts related to computer architecture, data structures and programming practices
• Experience with automated testing and test-driven development
• Ability to work onsite in out South Jordan, UT office 2 days a week Mondays and Wednesdays 9am to 5:30 and remote Tuesday, Thursday and Fridays.
• Ability to start without immigration support now or at any time the future.

Other skills that you may bring along but are not essential are:

• Containers, Kubernetes, Docker
• DevOps experience using YAML, Helm, Terraform
• Experience using Microsoft Azure DevOps (ADO) for tracking work items, bugs, and test cases.
• Microsoft Azure, Azure Kubernetes Services (AKS), Microsoft Azure Cloud Computing Technologies
• Development methodologies: Agile software development including Scrum or Kanban
• SQL Sever

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#LI-Hybrid Onsite

About the role

We are seeking a highly skilled Senior BI Engineer to take ownership of our Snowflake data platform and help evolve it into a scalable, well-governed foundation for analytics and AI. This is a hands-on engineering role responsible for shaping data architecture, enforcing standards, and building a clean, reliable data layer that supports both business intelligence and AI-driven use cases. You will report directly to the Director of BI and have significant autonomy in how the platform evolves. 

What You’ll Do 

Own and Elevate the Data Platform 

• Own the design and evolution of our Snowflake data platform end-to-end 
• Refactor and enhance pipelines, dbt models, and transformations to meet high standards for scalability, performance, and maintainability 
• Make and drive architectural decisions—not just implement tasks 

Architect for Scale and Clarity 

• Implement and enforce medallion architecture (bronze/silver/gold) with clear separation of concerns 
• Design and build dimensional models (star schemas) that are intuitive, performant, and durable 
• Implement SCD Type 2 and other core warehousing patterns correctly and consistently 
• Establish and enforce standards for schemas, naming, and data contracts 
• Integrate and normalize data from a wide range of source systems (SaaS apps, operational databases, event streams, finance/CRM tools) into a coherent, well-modeled warehouse layer 

Build an AI-Ready Data Layer 

• Design data models optimized for semantic clarity and AI/LLM consumption 
• Implement semantic views in Snowflake to enable tools like Claude via MCP 
• Ensure data is traceable, explainable, and trustworthy 

Establish a Real Data Engineering SDLC 

• Implement a Git-driven development lifecycle (branching, PR reviews, testing, deployments) 
• Introduce and enforce: 
• Data quality testing and validation 
• Schema enforcement and regression safeguards 
• Clear promotion paths from dev → prod 
• Raise the bar on engineering discipline across the data function 

Leverage AI as a Force Multiplier 

• Use AI tools to accelerate development while maintaining high standards 
• Guide and validate AI-generated code—never blindly trust it 
• Explore agent-based approaches for: 
• Data quality auditing 
• Pipeline validation 
• Anomaly detection and monitoring 

Collaborate and Lead Technically 

• Partner with BI analysts to deliver reliable, well-modeled datasets (Power BI downstream) 
• Translate ambiguous business requirements into clean, scalable data models 
• Provide technical direction to a supporting QA/offshore resource (planned) 

Documentation & Transparency 

• Build a culture of clear documentation, lineage, and data discoverability 
• Ensure systems are understandable and maintainable by others 
• Other duties as assigned 

What You’ll Need to be Successful 

Data Engineering Depth & Ownership 

• 5+ years of hands-on data engineering experience, with a meaningful portion spent owning architecture and driving development — not just executing assigned tasks 
• Strong experience with Snowflake as a primary warehouse 
• Advanced SQL skills and experience building production-grade ELT pipelines 
• Strong hands-on experience with dbt for modeling, testing, and transformation — including macros, tests, snapshots, and managing a production dbt project at scale 
• Experience integrating and normalizing data from many disparate source systems — SaaS APIs, application databases, CRM/ERP, finance systems, event data — into consistent, analytics-ready models 
• Deep, hands-on experience with: 
  • Star schemas and dimensional modeling 
  • SCD Type 2 implementations 
  • Layered/medallion architectures 
• Ability to make tradeoffs and defend decisions (performance vs flexibility, normalization vs usability, etc.) 
• Track record of improving data quality, consistency, and trust 
• Experience implementing Git-based workflows and structured SDLC practices for data 
• Strong instincts around testing, governance, and maintainability 
• Comfortable setting and enforcing standards across a team 

AI-First Mindset

• Demonstrated ability to use AI tools to meaningfully increase output and velocity 
• Strong judgment to validate and refine AI-generated work 
• Interest in applying AI/agents to improve data engineering workflows 

What Will Make You Stand Out

• Familiarity with Power BI 
• Familiarity with Salesforce as a data source (objects, schema, Salesforce-to-warehouse pipelines) 
• Experience working with or leading offshore/support resources

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:  $155,000-$165,000

The posted cash compensation for this position includes on target earnings, base salary and variable if applicable. 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

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The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

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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.

ABOUT THIS ROLE

LVT is looking for a strategic, hands-on expert to own our company-wide AI transformation. As Operational AI Strategy Manager, you will define how LVT adopts and scales AI across every function, building the models, policies, and cross-functional partnerships that turn AI from an experiment into a competitive advantage. This role sits at the intersection of strategy and execution: you'll architect our AI roadmap, develop internal AI policy, rationalize our AI tool investments, and directly build AI components within our automation workflows alongside our Integrations and Data Engineering teams. This is a senior individual contributor position with broad organizational reach and executive visibility.

This role is based in-office at our American Fork, UT headquarters.

ROLE RESPONSIBILITIES

• Define and drive LVT’s enterprise AI adoption strategy, establishing a clear roadmap for how AI delivers business value across every department.
• Develop and own LVT’s internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.
• Audit and rationalize the AI capabilities embedded across LVT’s existing tech stack — driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend.
• Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions.
• Architect the AI strategy at the intersection of automation — defining where and how AI augments workflows built on platforms like Workato and Oracle Integration Cloud (OIC).
• Design and build the AI components embedded within automation flows, partnering with the Automation Integrations team to ensure seamless, intelligent execution.
• Champion AI literacy and adoption across LVT, partnering with business leaders to identify high-impact opportunities and drive measurable outcomes.
• Communicate AI strategy and progress to executive leadership, translating technical direction into clear business outcomes.

OUR IDEAL CANDIDATE

• Strategic and technical: You can write a boardroom-ready AI strategy in the morning and build a RAG pipeline in the afternoon — you’re equally comfortable in both modes.
• AI practitioner: You have hands-on experience building and deploying LLM-based solutions, including retrieval-augmented generation (RAG), vector databases, and model fine-tuning or prompt engineering at scale.
• Platform fluent: You understand enterprise automation platforms (Workato, OIC, or equivalent) and can reason clearly about where AI fits within complex integration flows.
• Tech stack evaluator: You know how to assess embedded AI features across SaaS and enterprise tools — cutting through vendor marketing to determine what’s actually delivering value, what’s redundant, and what should go.
• Policy-minded: You’ve developed or contributed to AI governance frameworks, usage policies, or organizational AI standards — and you understand the stakes of getting it right.
• Cross-functional influencer: You build trust with engineering, operations, and executive stakeholders alike, and know how to move initiatives forward without direct authority over every team involved.
• Data-environment comfortable: You’re experienced working within data platforms (e.g., Snowflake, Cortex) and partnering with data engineering teams to bring AI models from concept to production.
• Outcome-oriented: You measure your work by business impact — adoption rates, efficiency gains, cost reduction — not by the sophistication of the model you shipped.

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. 

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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. 

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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

As the Performance Optimization Strategist, you will be the architect of our automated growth engine. This is a high-impact individual contributor role focused on moving beyond traditional marketing tactics to build sophisticated, AI-driven systems that scale personalized outreach. You will leverage LLMs and agentic workflows to transform how we identify and engage high-value accounts, ensuring our message hits the right person at the right time with 1:1 precision at a 1:1,000 scale.

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

ROLE RESPONSIBILITIES

• Architect and deploy automated "agentic" workflows to identify, research, and prioritize high-value accounts with minimal manual intervention.
• Design and manage programmatic outreach systems that utilize LLMs and data enrichment to deliver hyper-personalized communication across email, web, and ads.
• Optimize sales enablement tooling, specifically Gong Engage, to automate communication flows and bridge the gap between marketing signals and sales action.
• Build a systematic experimentation engine, managing 5–10 simultaneous tracks to test hypotheses around conversion psychology and AI-generated outputs.
• Analyze performance metrics across Salesforce, Google Analytics, and FullStory to identify friction points and operationalize successful tests immediately.
• Collaborate with internal creative and product teams to iterate on sales and marketing assets based on performance data and experimental findings.
• Measure success through increased pipeline velocity, higher conversion rates within ABM segments, and the scalability of automated workflows.
• Maintain meticulous documentation of variables and outcomes to ensure data integrity and repeatable growth "plays."

OUR IDEAL CANDIDATE

• The AI Orchestrator: You have a deep fascination with Agentic AI and a proven ability to prompt, chain, and automate LLM workflows to solve complex business problems.
• Growth Mindset: You possess 3+ years of experience in Growth Marketing, Sales Enablement, or BDR/SDR functions, with a track record of scaling performance through technical optimization.
• Data Literate: You are comfortable navigating CRMs like Salesforce or HubSpot and using web analytics to drive decision-making.
• Systematic Experimenter: You thrive in complexity and can manage multiple moving parts without losing sight of the "winner" in an A/B test.
• Solution-Oriented: You view technical roadblocks or "failed" experiments as critical data points and pivot quickly to troubleshoot logic or prompts.
• ABM Expert: You understand the nuances of penetrating high-value accounts and how to use specialized tech to create personalized "surround sound" for buyers.
• Technical Proficiency: Experience with sales enablement tools (Gong Engage, Salesloft, or Outreach) and web tools (Webflow, FullStory).
• Educational Background: You hold a degree in Marketing, Business, Communications, or a related field, or have equivalent professional experience in high-growth SaaS environments.

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.

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.