About the Role

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

Responsibilities

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

Qualifications

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

Benefits

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

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

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

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

The Impact You’ll Make

• 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

LearnUpon is looking for a GTM Lead Engineer to join our team in Salt Lake City. This is a hybrid role, working 3 days per week from LearnUpon's office.

LearnUpon LMS helps organizations train their employees, customers, and members. Businesses can manage, track, and achieve their unique learning goals — all through a single, powerful solution.

With offices in Dublin (our HQ), Belgrade, Philadelphia, Salt Lake City and Sydney, we are a global team with lots of diverse cultures, backgrounds, and experiences that puts our customers' experience at the heart of everything we do. Our culture fosters an open, collaborative and supportive environment where our accomplishments are celebrated and encouraged. We're always striving for the best solution (not the easy one). We’re proud of our success and we’re humble and hungry to achieve more. 

Our Go-To-Market (GTM) Systems team is the architectural heartbeat of our growth strategy. While traditional operations focus on maintaining the status quo, this team is responsible for building the automated future of our business development motion. You will be a founding member of this function and will report to the Head of Revenue Operations, working closely with Business Development, Sales, and Marketing. Your mission is to eliminate the "grind" of manual prospecting by building a sophisticated, AI-driven signals engine and a unified automated ecosystem that allows our sales team to focus entirely on closing deals rather than managing tools.

What will I be doing?

• Architecting the Signals Engine: Design and build an automated system that captures high-intent buying signals (hiring trends, tech stack changes, social triggers) and transforms them into actionable tasks for the BD team.
• Workflow Orchestration: Implement "agentic" workflows—AI agents that can autonomously research accounts, draft hyper-personalized outreach, and manage lead routing across our ecosystem.
• Tech Stack Consolidation: Audit and revamp our existing sales and marketing technology. You will move us away from a "stitched-together" stack toward a seamless, automated platform where data flows without manual intervention.
• Sales & BD Partnership: Work directly with the Business Development and Sales leaders to identify manual bottlenecks and engineer automated solutions that serve their day-to-day needs.
• System Governance & Scaling: Ensure the "plumbing" of our GTM motion is robust, scalable, and capable of handling 10x our current lead volume through efficient API integrations and database management.
• Continuous Innovation: Stay at the forefront of the AI/Agentic landscape, constantly experimenting with new LLM capabilities and automation tools to keep our GTM motion ahead of the competition.

What skills and experience do I need?                                                                                 

• 6+ years in SaaS, with at least 2 years specifically focused on GTM automation or RevOps architecture.
• Systems Thinking: The ability to look at a complex manual process and visualize the automated architecture required to solve it.
• Automation Mastery: Deep expertise in workflow orchestration tools (e.g., n8n, Make, Zapier, or Tray.io) and data enrichment platforms (e.g., Clay, Apollo, or Clearbit).
• CRM Expertise: Advanced knowledge of CRM architecture (Salesforce) and how to build custom objects/logic that support automation.
• AI/LLM Familiarity: Practical experience using LLMs (Geminni, OpenAI, Anthropic) for prompt engineering and automating content generation within a sales context.
• Business Acumen: A strong understanding of the B2B sales funnel, lead-to-revenue cycles, and key GTM metrics like CAC and Pipeline Velocity

Don’t worry if you don’t tick every box in order to apply, we’re always happy to review applications and take all experience into consideration. We do our best to provide feedback where we can!

Not required but considered a big plus

• Experience building with AI agent frameworks.
• Prior experience in a "Founding GTM Engineer" or "RevOps Architect" role at a high-growth SaaS company.
• Familiarity with SQL and data visualization tools (Tableau/Looker) to build "Live ROI" dashboards for your automations.
• Strong understanding of outbound prospecting and Business Development (BD) best practices, with a focus on translating high-quality account identification methods into scalable automation.

Why work with us?

• Competitive salary and company ESOP.
• 25 days’ PTO + 1 annual company wellness day off. 
• Private health insurance and company 401k
• Parental benefits, including up to 26 weeks’ paid maternity leave, 4 weeks’ paid paternity leave, and coaching support for new parents
• Up to 4 weeks’ per year working abroad (role eligibility applies)
• Clear career progression opportunities — take LearnUpon where you think it can go
• A collaborative and supportive environment with regular team events

What is the Hiring Process?

Our typical process generally works as follows:

• Qualified applicants will be invited to schedule a screening call.
• Successful candidates will then be invited to a series of practical interviews.
• Finally, candidates will have a short interview with a member of our C-Suite Team.
• The successful candidate will be contacted with an offer to join our team.

LearnUpon is an Equal Opportunities Employer. 

We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.

By applying for this job, you agree to LearnUpon's Privacy Policy. Find out more about our privacy policy here

Visit our Careers site to find out more about working for LearnUpon, and check us out on Instagram.