We are looking for a Director, GTM Systems & Infrastructure to build and lead the systems, automations, and data infrastructure that power our Go-To-Market organization. This role sits at the intersection of AI, automation, internal tooling, and data orchestration, focused on accelerating revenue by transforming how our GTM teams operate. You will design and scale the technical backbone that connects our GTM systems, operational workflows, and revenue data to create intelligent, automated processes across Sales, SDR, Customer Success, Marketing, and Partnerships. As a player-coach leader within RevOps, you will be responsible for translating complex business challenges into scalable technical solutions — building AI-driven workflows, automation frameworks, and internal tools that increase productivity, improve data reliability, and enable faster revenue execution.

This role also plays a critical part in our Gong-on-Gong / Customer Zero initiative, using our own products internally as a proving ground for new AI workflows, automation capabilities, and revenue infrastructure. The goal is to turn internal innovation into scalable operating models that power both our business and our customers.

RESPONSIBILITIES

• Build the Revenue Engineering Function
  
  • Establish and lead the Revenue Systems & Infrastructure discipline within RevOps, defining the strategy, roadmap, and operating model for AI, automation, internal tooling, and revenue data infrastructure.
  • Build and mentor a team of GTM systems and automation builders focused on scaling revenue operations through technology.
  • Define architectural standards and best practices for automation, integrations, and internal tooling.
• AI & Intelligent Workflow Automation
  
  • Design and deploy AI-powered workflows that improve productivity, decision-making, and execution across the revenue organization.
  • Identify and implement high-impact AI use cases across the GTM lifecycle, including pipeline management, prospecting intelligence, forecasting signals, and customer insights.
  • Translate ambiguous operational challenges into scalable AI-driven solutions.
• Automation & Workflow Orchestration
  
  • Own the architecture and scaling of GTM workflow automation across the revenue technology stack.
  • Design and implement complex automations and integrations using platforms such as Workato, APIs, and adjacent orchestration tools.
  • Build scalable workflows supporting:
    • Lead routing and lifecycle management
    • Territory and account ownership
    • Data enrichment and quality management
    • Pipeline governance and operational execution
    • Compensation, quota, and operational processes
• Internal Tool Creation
  
  • Design and build internal applications and lightweight tooling that accelerate GTM execution and reduce reliance on fragmented point solutions.
  • Partner with RevOps, Sales, and Product teams to develop tools that unlock insights, improve operational visibility, and support AI-driven workflows.
  • Evaluate build vs. buy decisions to reduce vendor sprawl and technical complexity.
• Revenue Data Infrastructure & Orchestration
  
  • Own the orchestration and reliability of revenue data across the GTM ecosystem.
  • Design scalable data pipelines and integrations that power automation, analytics, and AI-driven workflows.
  • Partner with systems and data teams to ensure data quality, governance, and visibility across core GTM platforms.
• Customer Zero / Internal Innovation
  
  • Act as a core technical leader in the Customer Zero initiative, using our own products internally to develop scalable GTM workflows.
  • Prototype and operationalize new automation patterns and AI use cases that shape how modern revenue teams operate.
• Operational Execution & Platform Health
  
  • Own the intake, prioritization, and roadmap management for Revenue Engineering initiatives.
  • Manage team capacity, delivery timelines, and stakeholder alignment across multiple technical projects.
  • Maintain high standards for system reliability, monitoring, documentation, and change management.

QUALIFICATIONS 

• 8+ years in RevOps, GTM Ops, Data Strategy, or Sales Operations roles
• Revenue Infrastructure & GTM Systems Experience
  
  • Deep understanding of modern revenue organizations and GTM operations, including Sales, SDR, Customer Success, Marketing, and RevOps workflows.
  • Experience building or operating GTM infrastructure in high-growth B2B SaaS environments.
• Automation & Workflow Engineering
  
  • Significant experience building and scaling automations using platforms such as Workato, Zapier, n8n, or similar automation and orchestration tools.
  • Strong experience designing integrations and automation frameworks across complex GTM system environments.
• AI & Emerging Technology
  
  • Practical experience applying AI or LLM technologies to real business workflows.
  • Ability to evaluate emerging AI tools and determine where they create real business leverage.
• Data Architecture & Systems Thinking
  
  • Strong understanding of data architecture, APIs, and system integrations across revenue platforms.
  • Experience designing scalable data pipelines and workflows that support automation, analytics, and operational processes.
• Internal Tool Development
  
  • Experience building internal tools using platforms such as Retool or similar internal application frameworks.
  • Ability to rapidly prototype and deploy tools that solve operational problems.
• Leadership & Execution
  
  • Experience operating as a player-coach leader in technical or operational teams.
  • Strong prioritization and project management skills in fast-moving environments.
  • Ability to operate effectively in ambiguity and translate loosely defined problems into executable solutions.
• Builder Mindset
  
  • Strong systems thinking and ability to design durable, scalable solutions instead of one-off fixes.
  • Proven ability to scale automation and engineering systems while minimizing technical debt and operational complexity.

PERKS & BENEFITS 

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

The annual salary hiring range for this position is $174,000 - $250,000 USD. 

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

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

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

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

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

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.

About the Role:

We are seeking a detail-oriented Contract Technical Writer to spearhead a critical documentation overhaul for our Account Risk and Transaction Risk teams. This role is not just about recording processes; it is about building a foundation for the future of our operations. You will be responsible for auditing existing procedures, bridging documentation gaps, and—most importantly—structuring our Standard Operating Procedures (SOPs) for ingestion by LLMs and other AI tools.

What You Will Do:

• SOP Modernization: Audit and update legacy SOPs for the Account Risk and Transaction Risk teams to ensure they reflect current platform tools, compliance standards, and operational workflows.
• Documentation Gap Analysis: Partner with leaders across risk to identify areas where processes are undocumented or rely on "tribal knowledge," and shadow SMEs to draft new, comprehensive SOPs from scratch.
• AI Optimization & Structuring: Re-engineer documentation into high-quality, structured formats (such as Markdown) optimized for RAG (Retrieval-Augmented Generation) and LLM ingestion.
• Information Architecture: Apply consistent metadata, hierarchical tagging, and clear taxonomies to ensure that an AI can accurately parse, index, and retrieve risk-related information.
• Cross-Functional Collaboration: Partner with Risk Leads, Product Managers, and Engineering teams to ensure that documentation evolves in lockstep with product updates and fraud-prevention strategies
• Quality Control: Maintain a high bar for clarity, brevity, and actionable instructions, ensuring all content is accessible for both human analysts and automated systems.

What We Look For:

• Experience: 3+ years of experience in technical writing, preferably within FinTech, Risk Operations, Trust & Safety, or highly regulated environments.
• Risk Knowledge: A fundamental understanding of risk monitoring, fraud detection, or transaction dispute processes.
• AI Fluency: Familiarity with how LLMs process information and a proven ability to structure content for "Chat-with-your-docs" internal tools.
• Technical Proficiency: Strong skills in Markdown, Confluence, Git, or similar documentation-as-code tools.
• SME Engagement: A natural ability to interview technical experts and translate complex, high-stakes processes into simple, foolproof instructions.
• Detail Obsession: You are someone who catches the smallest inconsistency and understands that in Risk, the details are everything.

This is a temporary contract position with an expected duration of three months, with the potential for extension if needed.

New Hire Hourly Pay Rate: $60/hr. - $65/hr.

At Bluevine, we recognize the importance of fair and competitive compensation. Exact compensation may vary based on a variety of factors, including your experience, skills, and qualifications, as well as market trends.

LearnUpon is looking for a GTM Engineer, Retention & Growth to join our team in Utah. This is a hybrid role, working 3 days per week from LearnUpon's Salt Lake City 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 customer success and expansion motion. You will be a founding member of this function and will report to the Head of Revenue Operations, working closely with Customer Success, Account Management, and Product. Your mission is to eliminate the "reactivity" of account management by building a sophisticated, AI-driven Customer Health & Expansion engine that allows our team to focus entirely on deepening relationships rather than managing spreadsheets.

What will I be doing?

• Architecting the Expansion Engine: Design and build an automated system that captures internal adoption signals (product usage drops, seat utilization, feature engagement) and transforms them into proactive outreach tasks for Account Managers.
• Churn Defense Orchestration: Implement "agentic" workflows—AI agents that can autonomously monitor account health, flag "at-risk" behaviors, and draft personalized "get-back-on-track" playbooks for the CS team.
• Lifecycle Automation: Audit and revamp our post-sales technology. You will move us away from manual renewal tracking toward a seamless, automated platform where renewals, upsells, and cross-sells flow through a predefined, data-driven lifecycle.
• CS & AM Partnership: Work directly with Customer Success and Account Management leaders to identify manual bottlenecks in the renewal process and engineer automated solutions that serve their day-to-day needs.
• Revenue Governance & Scaling: Ensure the "plumbing" of our retention motion is robust and scalable, ensuring 100% data integrity between our Product Analytics and our CRM.
• Continuous Innovation: Stay at the forefront of the AI landscape, experimenting with new ways to use LLMs to summarize account health, analyze NPS sentiment, and predict expansion readiness before a human even spots the trend.
• Act as a force multiplier for leadership, managing the end-to-end execution of emerging projects through diligent meeting management, stakeholder follow-ups, and data tracking.

What skills and experience do I need?                                                                                 

• 6+ years in SaaS, with at least 2 years specifically focused on GTM automation, RevOps architecture, or CS Ops.
• Systems Thinking: The ability to look at complex customer journeys and visualize the automated architecture required to reduce friction from onboarding to renewal.
• Automation Mastery: Deep expertise in workflow orchestration tools (e.g., n8n, Make, Zapier, or Tray.io) and customer data platforms.
• CRM & CS Tool Expertise: Advanced knowledge of Salesforce architecture and familiarity with CS platforms (e.g., Planhat, Gainsight, ChurnZero, etc).
• AI/LLM Familiarity: Practical experience using LLMs (Gemini, OpenAI, Anthropic) for sentiment analysis, automated account summaries, and personalized expansion messaging.
• Retention Acumen: A strong understanding of post-sales metrics, specifically NDR (Net Dollar Retention), GRR (Gross Retention Rate), and LTV (Lifetime Value).

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.

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

ABOUT THIS OPPORTUNITY

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

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

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

WHAT YOU’LL BRING

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

ADDED BONUSES

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

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

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

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

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

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

Position open until filled. 

#LI-Remote

The Design Team @ Pave

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

About this role:

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

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

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

What You'll Bring

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

Compensation, It's What We Do.

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

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

Benefits @ Pave

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

What we offer:

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

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

About Human Agency

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

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

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

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

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

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

The Opportunity

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

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

Key Responsibilities

Strategic & Executive Leadership

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

AI Process Design & Automated Engines

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

Client Service Delivery & Organizational Rollouts

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

Quality, Governance & Evaluation

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

Stakeholder Management & Enablement

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

Operations & Project Management

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

Communications & Reporting

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

Who You Are

Experience & Skills

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

Mindset & Traits

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

Considerations

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

Compensation

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

Why Join Human Agency

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

Equal Opportunity Commitment

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

Location: Remote (U.S. or Canada)

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

About Human Agency

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

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

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

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

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

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

The Opportunity

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

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

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

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

What You’ll Do

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

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

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

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

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

What We’re Looking For

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

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

You Should Apply If

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

You Should Not Apply If

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

Considerations

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

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

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

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

Why Join Human Agency

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

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

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

Equal Opportunity Commitment

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

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.

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