About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Ideally, you’d have:

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.

• A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).

• At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.

• Strong written and verbal communication skills, along with the ability to work effectively across teams.

Nice to have:

• Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.

• Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.

• Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.

• Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.

• Proficiency in cloud-based ML development, with experience in AWS or GCP environments.

Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. 

You will:

• Lead a team of highly effective research scientists and research engineers on LLM evals.
• Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. 
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
• Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
• Remain deeply involved in the research community, both understanding trends, and setting them
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience supporting and leading a team of research scientists and research engineers
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

About the General Agents Team

The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideally you’d have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About the ACE team 

The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. 

About This Role

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Ideally you’d have: 

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally. 

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. 
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideally you’d have:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to haves:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.

As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

You will:

• Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).  
• Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
• Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
• Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
• Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
• Stay deeply connected to the research community, understanding major trends, and helping set them.
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
• A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
• Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation.

You will:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.
• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.
• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.
• Perform digital incident investigations to identify and contain potential security breaches.
• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.
• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.
• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.
• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.
• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideally, you'd have:

• • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.
  • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts.
  • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.
  • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.
  • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.
  • Familiarity with digital forensics tools and malware analysis techniques.
  • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.
  • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.
  • Strong communication skills, with the ability to translate complex security findings into clear business impact.
  • Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.
• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy. 
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.
• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience operating and securing AWS infrastructure at scale.
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

You will:

• Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
• Design and implement scheduling primitives to optimize the lifecycle of training jobs.
• Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
• Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
• Work closely with Finance and Procurement teams to drive our capacity planning process.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.

Ideally you'd have:

• 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
• Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
• Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
• Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
• Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
• Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
• Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

• Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
• Experience with PyTorch
• Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.

You will:

• Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. 
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
• Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
• Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience tech leading a team of research scientists and research engineers
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.

In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.

You will:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideally you’d have:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills

• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

About the role:

At Headway, we’re building the largest national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Our ability to serve patients starts with providers. As Director of Product for Provider Growth, you’ll lead the product vision, strategy, and execution for how we attract, onboard, and activate providers on Headway. 

Your mission is to grow the number of active providers on Headway by delivering a seamless, delightful onboarding and activation experience and by building high-impact growth channels. You’ll lead cross-functional teams responsible for critical surfaces across the provider funnel, including leads forms intakes, credentialing, onboarding, and referrals programs. You’ll also drive new product surfaces and big bets that tie into long-tail growth opportunities, like growing Group Practices. 

Provider growth is one of Headway’s most important levers for scaling access to affordable mental healthcare. Whether it's building a world-class referrals engine, optimizing conversion through onboarding, or laying the groundwork for future market expansion, this role is at the heart of Headway’s growth story — and critical to advancing our mission. This is a pivotal role for both Headway and our mission to make mental healthcare more accessible.

What you’ll do at Headway:

• Own the vision and strategy for provider growth — balancing bold bets with near-term impact to increase the number of new activated providers.
• Collaborate deeply with cross-functional teams — design, engineering, data, operations, GTM — to learn fast, ship often, and deliver meaningful outcomes.
• Lead and scale a team of PMs focused on improving conversion through onboarding, referrals, and provider activation flows.
• Use data and design to optimize the onboarding journey and improve conversion, provider experience, and overall efficiency.
• Stay close to providers and the market, using insights, data, and feedback to inform product strategy and prioritization.
• Be a strategic thought partner across the company on growth, activation, and provider experience.

You’ll be great for this role if you:

• Are a growth-minded product leader with 8+ years of experience driving measurable business impact through product innovation, with at least 4 years managing PMs.
• Have experience with B2B2C or platform products, ideally in a growth, marketplace, or onboarding-focused role.
• Are a strategic thinker who can zoom in and out — balancing long-term vision with near-term execution, and being honest about what matters most.
• Love digging into customer insights, data, and operational realities to shape your strategy.
• Thrive in ambiguous, fast-paced environments and excel at bringing clarity, focus, and momentum.
• Are a motivational leader who knows how to build high-performing teams and influence cross-functional stakeholders.
• Care deeply about delivering meaningful impact — for providers, patients, and Headway’s mission.

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

• Benefits offered include:
• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-AC1

ABOUT THIS OPPORTUNITY

Hunt is onX’s most complex vertical, serving a diverse set of customers across public and private land use cases. As the product evolves, we’re focused on improving the end-to-end Hunt experience—driving deeper engagement, retention, and long-term value.

We’re hiring a Senior Product Manager to help shape and drive this next phase. Reporting to the Group Product Director of Hunt, you’ll define meaningful problems, lead discovery, and drive solutions from concept through launch.

This is a hands-on, builder-oriented role. You’ll move between insight and execution—getting close to customers, turning ambiguity into clear priorities, and driving work forward to shipped outcomes. You’ll partner closely with product leadership to shape direction while owning execution within your domain.

You’ll operate in a matrixed product organization, working across Hunt and shared platform teams (e.g., Navigation, Offline Maps) to ensure solutions meet Hunt customer needs while scaling across verticals.

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

• Shape and execute product strategy through hands-on discovery, customer insight, and problem framing
• Own a product area end-to-end—from problem definition through delivery and iteration
• Drive measurable outcomes (engagement, retention, adoption) and use data to inform prioritization
• Translate ambiguous opportunities into clear plans, aligned teams, and shipped product
• Partner cross-functionally across engineering, design, marketing, and platform teams
• Influence shared platform capabilities to scale across verticals while advocating for Hunt-specific needs
• Use AI and data to accelerate discovery, decision-making, and product development
• Drive experimentation, including defining success metrics, running tests, and learning from results
• Communicate clearly with stakeholders and leadership on priorities, progress, and impact

Note: This is a condensed overview for job posting purposes. A more detailed description of the role and responsibilities will be shared with candidates who move forward in the interview process.

WHAT YOU’LL BRING

• 7+ years of progressive product management experience delivering consumer-facing mobile software, with a demonstrated track record of owning and delivering end-to-end product outcomes that measurably improved engagement, retention, or conversion. 
• Bachelor's degree in a related field or equivalent experience
• Deep fluency in mobile-first product ecosystems, with hands-on experience managing the full lifecycle of iOS and/or Android consumer applications.
• Proven ability to drive outcomes through influence in complex, cross-functional environments, including matrix organizations, aligning engineering, design, marketing, and leadership around a shared product direction without direct authority.
• Experience defining and operationalizing product success metrics, including user segmentation, cohort analysis, funnel optimization, and growth levers, with a track record of using those metrics to inform prioritization and drive execution. 
• Demonstrated experience using AI tools to accelerate product discovery, improve decision quality, and enhance product development workflows, with evidence of applying AI beyond basic or surface-level use.
• Experience taking products or features from inception through maturity, including navigating the ambiguity of early-stage definition and the driving execution to scale what works..
• Proven ability to translate complex, multi-stakeholder problems into clear product decisions, and drive those decisions through execution, with the communication skills to bring executives, technical partners, and cross-functional teams along.
• Strong command of agile development practices, with experience working in continuous delivery environments and iterating rapidly based on data and customer feedback.
• Experience operating in ambiguous problem spaces, creating clarity, and driving momentum without fully defined requirements or direction.
• Genuine curiosity about and connection to the onX Hunt customer, whether through lived experience as an outdoor enthusiast or a demonstrated ability to deeply immerse in and advocate for a specific customer community.
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel monthly or quarterly, depending on location, for multi-day visits to a corporate office or other onX locations (e.g., Basecamps).

ADDED BONUSES

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

• Experience working on products that serve multiple distinct customer segments within a single product ecosystem, where shared experiences had to work well for different types of users without feeling generic to any of them
• Experience owning information architecture, navigation design, or onboarding flows in a consumer mobile app, particularly where the challenge was helping users discover and adopt a deep feature set
• Experience driving measurable improvements in feature adoption, activation, or engagement depth, and a clear point of view on what actually moves those metrics versus what just looks good on a roadmap
• Experience partnering with multiple product lines and platform teams to ship scalable and cohesive end-to-end experiences, especially in environments where influence mattered more than direct ownership
• Experience in 0→1 or 1→n product evolution, especially where the problem space was not fully defined upfront
• Experience working in high-growth or rapidly evolving product environments

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $143,000 to $179,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

About the role

As Claude reaches more people — individuals, businesses, developers building on our APIs, and platforms building on top of those — knowing who's on the other side of a request becomes foundational to running our products responsibly. Passport is the team building that capability: a centralized identity, verification, and trust-grant platform.

We're hiring an Engineering Manager to build our Passport team. You'll expand the early team, define the architecture, and ship the first version of a platform that touches Claude.ai, our first-party APIs, and the third-party platforms built on top of them. This is a role with an unusually broad surface area: identity verification flows, a centralized trust graph, integration with our Safeguards organization, and a user-facing portal — all on the critical path for how Anthropic scales access to Claude safely.

About the team

Passport will own the customer verification and trust stack across Anthropic's products. The team's scope includes the entry flows customers go through to establish identity, a centralized model for coordinating and managing access, integration with review processes and the user-facing surfaces customers use to manage their trust across connected products. The team sits close to the product surfaces it serves and works closely with our safeguards, platform, and product organizations.

Responsibilities

• Establish the Passport team as a high performing contributing team to our wider model safety efforts — hire the early team, set the technical direction, and establish how the team operates
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response on a system that's on the critical path for every Claude product
• Partner with safeguards, product, and design to shape the roadmap — and make the integration between automated decisions and human review work end-to-end
• Work directly with customers and the go-to-market team on verification and trust requirements, joining key conversations and turning what you learn into engineering priorities
• Drive the compliance and platform-readiness work customers and regulators require, partnering with security, legal, and the broader platform organization
• Coordinate across the product teams that depend on Passport, making migrations and integrations land cleanly
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have taken a product or platform from 0→1, making early architectural calls, and shipping the first versions with limited precedent to lean on
• Are a skilled engineering manager who treats management as a craft — clear feedback, strong 1:1s, consistent investment in your team's growth
• Have led teams building systems that other teams depend on, and understand the discipline that comes with being on someone else's critical path
• Are comfortable working with customers and joining conversations alongside sales, customer success, and safeguards partners

Strong candidates may also have

• Experience building customer verification or identity systems, including working with third-party verification providers
• Background designing centralized policy or trust systems where decisions propagate across many downstream surfaces
• Experience building trust & safety tooling, including the platform-side integration of human review into automated decisioning
• Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top
• Background owning compliance and regulatory work within an engineering org
• Experience with user-facing portals for account verification, trust, or compliance flows

The Role

Gradial is hiring its first Product Marketing Manager to define the category and build the product marketing function from the ground up. You’ll own how we position the company to executives, buyers, operators, analysts, and the market at large. This is a foundational role reporting to the Founder and Chief Growth Officer, built for someone who joined an early-stage startup and drove it through a significant scale phase as a category-defining business.

You’ll shape the narrative across our full portfolio, from core platform positioning to launches, customer stories, competitive strategy, and analyst relations. You’ll work closely with founders, product, sales, and customers to ensure Gradial tells one clear story everywhere it matters. We’re looking for someone with strong instincts, sharp judgment, and high conviction who knows how to make a new category feel inevitable.

What You’ll Own

• Define and defend Gradial’s positioning across the portfolio, ensuring our homepage, pitch, launches, and market narrative tell one clear story
• Name and shape the category before someone else does through sharp messaging, proprietary research, and language that sticks in the market
• Own product and company messaging for executives, buyers, operators, and technical stakeholders across every major channel
• Lead product launches as narrative moments, building the storyline, proof points, founder content, customer voice, and go-to-market coordination end to end
• Build competitive positioning that helps us win in live deals against adjacent platforms, established incumbents, and agency alternatives
• Partner closely with Sales to sharpen differentiation, strengthen objection handling, and improve win rates where it matters most
• Turn customer wins into category-defining stories by building a repeatable engine for case studies, named talks, videos, PR moments, and co-marketing assets
• Talk to customers and power users frequently, using those insights to refine messaging, uncover proof points, and keep our story grounded in reality
• Own analyst relations across top industry firms, shaping how the market understands the category and where Gradial fits
• Hold a high bar for clarity and consistency, protecting the company from diluted messaging as we scale

What We Need

• 5+ years of product marketing experience in B2B SaaS, ideally in a product-led or category-creating company
• Experience joining an early-stage startup, roughly under 250 employees, and driving it through a significant scale phase as a category-defining business
• Strong track record owning positioning, launches, competitive strategy, customer storytelling, and sales enablement
• Exceptional writing and storytelling skills with the ability to create sharp narratives that influence buyers, operators, analysts, and internal teams
• Ability to translate complex product capabilities into clear market value for both technical and non-technical audiences
• Experience working closely with founders, product teams, and go-to-market teams in fast-moving environments with little existing structure
• High ownership mindset with comfort operating as a builder and individual contributor while laying the foundation for a future function
• Strong customer instinct and a habit of staying close to users, buyer pain points, objections, and product truth
• Confidence and judgment to make strategic messaging decisions and hold the line as the company grows

Nice to Have

• Experience at a high-performing startup that scaled meaningfully from early stage to broad market adoption
• Familiarity with AI-native products, AI-leaning developer tools, or modern MarTech platforms
• Experience introducing a new category or making new market language stick in a competitive space

Compensation

The base salary range for this position is $165,000 to $190,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications.

In addition to base salary, this role is eligible for a performance-based bonus and equity grant.

Gradial offers a comprehensive benefits package, including medical, dental and vision insurance, 401(k) retirement plan, paid time off, paid sick leave, and other employee wellness programs.

WHAT YOU WILL DO

onX is seeking a Senior Backend Engineer with a passion for building scalable platform Identity and Access Management (IAM) systems. Your focus will be on designing, developing, and scaling secure authentication, authorization, and user management services that are foundational to our platform. You will play a key role in evolving our IAM platform and delivering seamless cross-platform authentication across iOS, Android, and web.

You will be part of our Core Services team that enables product teams to build faster and more securely by providing core infrastructure, services, and patterns. This is a great opportunity to help shape the future of how users securely access and interact with onX's suite of outdoor technology products.

This position reports to the Director of Engineering, Core Services.

TECHNOLOGIES WE USE

Our backend engineers primarily work in Go running in Kubernetes on Google Cloud Platform. The IAM team works extensively with identity platforms (Ory Kratos, Hydra, Oathkeeper), distributed databases (CockroachDB), and OAuth 2.0/session management patterns. Understanding mobile authentication tradeoffs (WebView vs. browser-based auth, token-based patterns) is particularly relevant for this role.

As an onX Senior Backend Engineer, your day to day responsibilities would look like:

(Essential Job Duties)

• Build scalable, secure IAM services that enable new features and products across the onX suite of apps
• Design and implement backend systems focusing on observability, fault-tolerance, security, and high performance
• Drive architectural decisions related to Identity and Access Management, ensuring alignment with and advancing our broader platform strategy
• Define and implement SLIs/SLOs for IAM services; drive reliability engineering practices including incident response and performance optimization
• Write thorough unit, integration, and acceptance tests to ensure high service quality and maintainability
• Document APIs, service architectures, and technical decisions for internal stakeholders and external partners as needed
• Collaborate closely with fellow engineers, product managers, and other stakeholders through design reviews, paired programming, and cross-functional planning sessions
• Leverage and extend existing onX services and platform patterns to drive consistency and reduce duplication
• Proactively improve system monitoring, alerting, diagnostics, and operational readiness of IAM-related services
• Participate in an on-call rotation to ensure backend services remain highly available and reliable
• Mentor and share knowledge with engineers on your team
• Lead by example and embody onX's company values, fostering a culture of technical excellence, ownership, and collaboration
•  

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". 

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

• B.S., M.S., or equivalent experience in computer science or a related field
• Eight or more years of professional software development experience, with API development as a primary focus for at least three of those years
• Strong Go/Golang backend development experience with RESTful API design
• Experience building and debugging distributed, scalable, highly available microservices architecture
• Solid understanding of identity systems: OAuth 2.0, session management, bearer token authentication, SSO integrations
• Experience with distributed databases (CockroachDB or similar PostgreSQL-compatible distributed systems) and relational databases (PostgreSQL, MySQL)
• Excellence in designing and developing modern APIs and scalable systems that ensure reliability and extensibility
• Familiarity with Docker, Kubernetes, and infrastructure-as-code technologies such as Terraform
• Strong computer science foundation
• Security-first mindset -- you think about threat models, secure defaults, and defense in depth as part of your design process
• You evaluate technologies and solutions based on merit, stability, performance, and the ability to debug
• Ability to write maintainable, well-tested code that's easy for others to understand
• A strong sense of ownership of your work
• Advocacy for customers -- both internal colleagues and end users -- and their experience
• Permanent US work authorization is a condition of employment with onX

Preferred Qualifications

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

• Experience with identity platforms such as Ory Kratos, Auth0, Cognito, or similar
• Experience with the Ory Stack, especially Hydra, Kratos, and Oathkeeper
• Experience with Authzed SpiceDB, Google Zanzibar, or AWS Cedar for fine-grained authorization
• Understanding of mobile authentication patterns: WebView vs. browser auth tradeoffs, token-based flows across iOS/Android/web
• Reliability engineering experience: SLI/SLO implementation, incident response, performance optimization
• SOC2 compliance experience or familiarity with security audit frameworks
• Experience with Elixir or the Phoenix Framework
• Familiarity with Google Cloud Platform
• Experience working with a distributed team

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $146,000 to $182,000 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 ARE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 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 in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating 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 PS@onxmaps.com. 

Position open until filled. 

#LI-Remote

About the role

We are seeking an experienced Global Senior Equity Program Manager to manage Anthropic's equity compensation strategy and operations across all global markets. In this pivotal role, you will design, implement, and manage comprehensive equity programs that attract, retain, and motivate top talent while supporting our mission to develop safe and beneficial AI systems. You'll work closely with cross-functional teams including People, Legal, Finance, and Tax to ensure our equity programs are competitive, compliant, and aligned with our values as a public benefit corporation.

As Anthropic continues to scale globally, you will play a critical role in building equity frameworks that support our international expansion while maintaining consistency with our compensation philosophy. This role offers the opportunity to shape equity compensation practices at one of the most important AI safety companies during a period of significant growth.

Responsibilities:

• Oversee daily equity plan operations including grant processing, option exercises, cancellation and cap table management.
• Build and optimize processes for equity transactions while ensuring accuracy and compliance
• Manage monthly equity reconciliations and reporting
• Lead demographic and payroll system integrations to streamline equity operations
• Develop and implement automated processes for tax rate calculations and payroll integration
• Create scalable workflows that can support our growing headcount and global expansion
• Provide high-touch service to ensure employees understand their equity compensation
• Execute simple equity tax calculations in coordination with payroll processing
• Ensure timely and accurate tax withholding and reporting for equity transactions
• Support development of equity tax policies and procedures
• Design and document standard operating procedures for all equity operations
• Create scalable processes that will support transition to public company requirements
• Provide guidance and support to managers and employees on equity-related questions and programs

You may be a good fit if you have:

• A Certified Equity Professional (CEP) designation
• 8+ years of experience in equity administration, stock plan management, or related field
• Strong knowledge of equity compensation principles (stock options, RSUs)
• Experience with Shareworks equity management platforms
• Proficiency in payroll systems integration and tax withholding processes
• Detail-oriented with strong analytical and problem-solving skills
• Excellent communication skills with ability to explain complex equity concepts to employees

Strong candidates may have:

• Experience at high-growth technology companies during scaling phases
• Knowledge of US and international equity compensation and tax requirements
• Excellent project management skills with a track record of leading complex, cross-functional initiatives
• Advanced Excel/Google Sheets skills and experience with modeling

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About Trase

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. 

About The Role

As Principal Software Engineer, you’ll own the core execution model and platform architecture of Trase OS - the shared platform (“agentic operating system”) that powers all Trase deployments in regulated environments. You’ll define the abstractions and APIs that connect workflows, agents, tools, and product surfaces, and ensure the correctness, scalability, and extensibility of the system.

This is a company-critical role: you are responsible for how the system behaves under real-world conditions, including failure, scale, and security constraints. Your work sets the technical direction for the platform and acts as a force multiplier across all engineering teams.

Clean abstractions and correctness-under-failure are critical because we operate long-lived agents in healthcare/defense environments where auditability and reliability are non-negotiable.

Why This Role Is Needed

Trase OS is an orchestration-heavy system coordinating long-lived workflows, agents, and tools across multiple services and environments.

As the platform evolves, the primary risks shift from implementation to system design quality:

• Poor abstractions create tight coupling across services
• Workflow execution becomes difficult to reason about under failure
• Platform capabilities fragment instead of becoming reusable primitives
• Scaling introduces complexity instead of leverage

This role exists to:

• Define clean, durable abstractions for the platform execution model
• Ensure correctness and determinism in workflow execution
• Translate evolving product requirements into coherent platform architecture
• Enable teams to build on Trase OS without introducing systemic complexity

What Makes This Role Hard

• You are designing systems where failure is the norm, not the exception, and correctness must be preserved across retries, restarts, and partial execution
• You must balance clean abstractions with real-world constraints (performance, security, multi-tenant environments)
• Decisions made here become foundational primitives used across all products and teams
• The system must remain understandable and auditable, even as complexity and scale increase

Responsibilities

• Architect & lead the core execution model (state machine, lifecycle, resource model, failure semantics)
• Design platform APIs/SDKs connecting workflows, agents, tools, and product surfaces; drive versioning & compatibility
• Guarantee correctness via idempotency, deterministic replays, compensating actions, and data integrity
• Engineer reliability at scale: concurrency controls, rate limits, backpressure, sharding/partitioning, and workload isolation
• Build security & governance into the core: RBAC/ABAC, policy enforcement, fine-grained audit & lineage
• Deliver observability: distributed tracing, structured logs, metrics, and evaluation hooks; build an “explainable trail” of agent actions
• Own quality: design reviews, test strategy (unit, property, chaos), performance baselines, SLOs, incident response, and postmortems
• Mentor & unblock senior engineers; partner with Product, Security, and Customer teams to translate requirements into durable primitives
• Make pragmatic choices on storage, queueing, and compute; create paved roads that accelerate all other teams
• Define system boundaries and reduce cross-service coupling through clear architectural patterns
• Drive platform-wide standards for correctness, reliability, and API design across teams
• Balance short-term delivery with long-term architectural integrity, ensuring the platform evolves without accumulating systemic risk

Principal-level Technical Leadership

• Define and drive the long-term technical architecture of Trase OS across teams and domains
• Influence company-wide technical direction for platform and product systems
• Lead cross-team initiatives that shape how workflows, agents, and platform primitives are built and evolve
• Partner with leadership to align technical architecture with product and business strategy
• Mentor senior and staff engineers and raise the bar for system design and architectural thinking

Requirements

• 12-15+ years of experience building distributed/platform systems, including significant experience defining architecture across teams or domains 
• 10+ years owning mission-critical runtimes or workflow/orchestration systems
• Deep expertise with durable execution (e.g., state machines, event sourcing, saga/compensation, idempotency, exactly/at-least-once semantics)
• Proven track record with security & governance in production systems (auth, RBAC, audit, policy)
• Hands-on with observability (Grafana or equivalent), including trace correlation across async boundaries
• Strong systems design across storage, queues, schedulers, and evented architectures; performance tuning under load
• Excellence in a modern language (e.g., Go, Rust, Java, or TypeScript) and cloud-native stacks (containers, CI/CD, IaC)
• Comfortable operating in regulated or high-assurance environments; bias toward correctness, clarity, and documentation
• Proven ability to influence technical direction across an organization and drive adoption of architectural standards
• Ability to incorporate advance LLM capabilities into system design and platform architecture decisions where appropriate

Nice to Have

• Prior work on workflow engines (Temporal/Cadence/AWS Step Functions, Argo, Airflow) or serverless runtimes
• Experience with policy engines (OPA), secrets/KMS, or data-handling controls (PII/PHI)
• ML/LLM evaluation frameworks, tool/plugin architectures, or embedding model governance into execution
• Government or healthcare experience (HIPAA, audit readiness) and multi-tenant isolation

Salary Range: $240,000-290,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About Trase

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. 

About the Role

As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.

You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.

This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.

As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.

This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.

Responsibilities

Technical Leadership & Innovation

• Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
• Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
• Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.

Research → Prototype → Production

• Develop prototypes for key technologies to validate new approaches and de-risk system design.
• Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
• Translate advances in ML into scalable, production-grade systems with measurable impact.

Agentic Systems & Applied ML

• Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
• Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
• Establish patterns for planning, decision-making, and tool orchestration within complex systems.

Evaluation, Quality & Reliability

• Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
• Establish evaluation systems that connect model performance to task success and system-level outcomes.
• Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.

ML Systems & Platform Integration

• Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
• Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
• Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.

Enterprise & Regulated Deployments

• Build and deploy enterprise-grade AI systems used by global customers in production environments.
• Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
• Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.

Communication & Influence

• Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
• Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
• Drive alignment across research, engineering, and product through strong technical leadership.

Mentorship & Organizational Impact

• Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
• Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
• Influence technical direction beyond immediate teams through high-impact, cross-functional work.

Requirements

• 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
• Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
• Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
• Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
• Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
• Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
• Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
• Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
• Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.

Nice to Have

• Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
• Experience building and operating AI/ML platforms that support the full model lifecycle.
• Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
• Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
• Prior experience operating at the Staff or Principal level in a scaling organization.

Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About Trase

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. 

About the Role

Location: Seattle, WA area

As a Staff Developer Experience Engineer (DevEx), you will own the systems, tooling, and workflows that enable engineers to build, test, and ship on Trase OS quickly and safely. As the first DevEx hire, you will build the base of the platform and team. 

This is a core platform engineering role, not internal tooling support. You will design and operate the development environment, build systems, and integration infrastructure that allow teams to work effectively in a distributed, multi-service system with strict reliability and security constraints.

Your work directly determines engineering velocity, system safety, and the ability to scale the team without increasing risk.

Why this role is needed

Trase OS is a complex, evolving platform with long-lived workflows, multiple services, and deployments across environments with varying security requirements.

As system complexity grows, developer friction and release risk become the primary bottlenecks. Without strong DevEx ownership:

• Cross-service changes become slow and error-prone
• Integration issues surface late (or in production)
• Local development diverges from production reality
• Each team reinvents workflows instead of building on shared foundations

This role exists to:

• Create paved roads for development and testing
• Ensure engineers can make changes confidently across services and environments
• Turn platform complexity into repeatable, reliable developer workflows

What you'll do

You will work on:

• A shared platform powering all Trase deployments
• Multi-service systems with complex integration points
• Development and testing workflows that must reflect real production behavior
• Tooling that enables safe iteration in security- and compliance-sensitive environments
  
  

You will:

• Design and maintain local development environments that mirror production behavior as closely as possible
• Build and operate build systems, CI pipelines, and test orchestration for multi-service systems
• Own integration and end-to-end testing infrastructure, including:
• Test environments and fixtures
• Cross-service test coordination
• Flake detection and reduction
• Develop internal tooling (CLI, SDKs, scaffolding) that standardizes how engineers interact with the platform
• Create repeatable workflows for building, testing, and deploying changes across services
• Improve developer feedback loops (build times, test reliability, debugging workflows)
• Partner with DevOps/SRE to ensure development workflows align with production reliability and deployment systems
• Establish and maintain runbooks, templates, and onboarding systems that reduce ramp time and inconsistency

Staff-level technical leadership

• Define and drive the developer experience strategy across Trase OS
• Establish standards for:
• Build and test systems
• Local development environments
• Cross-service integration workflows
• Identify and eliminate systemic sources of developer friction
• Partner with platform and product engineers to ensure new systems are designed with operability and testability in mind
• Mentor engineers and raise the bar for engineering productivity and development ergonomics
  
  

Qualifications

Required

• 8+ years of experience in software engineering, with significant focus on developer tooling, build systems, or platform engineering 
• Experience working in multi-service or distributed systems environments
• Strong experience with:
• CI/CD systems and build tooling
• Test infrastructure (integration / E2E)
• Developer tooling (CLIs, SDKs, scaffolding)
• Strong software engineering fundamentals (ability to build and maintain internal platforms/tools)
• Proven ability to improve developer velocity and system reliability simultaneously
• Experience driving cross-team technical initiatives
• Experience integrating LLMs into developer tooling, build systems, or internal platforms to improve engineering productivity
  
  

Nice to have

• Experience designing local-first or production-like dev environments (e.g., containerized or ephemeral environments)
• Experience reducing test flakiness at scale
• Familiarity with observability tooling for debugging developer workflows
• Experience working in regulated or security-sensitive environments
• Experience working with and extending developer productivity and build tooling to improve engineering workflows (e.g., GitHub, Linear, Bazel, SonarQube, Tilt, Notion, Cursor)

Benefits

• 100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family. 
• Paid maternity and paternity for 14 weeks at employees' normal pay. 
• Unlimited PTO, with management approval. 
• Opportunities for professional development and continued learning with educational reimbursements. 
• Optional 401K, FSA, and equity incentives available. 
• Mental health benefits through TARA Mind.

Some travel is required.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $170,000-230,000. This represents the typical salary range for this position based on experience, skills, and other factors.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability

About the Role

As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.

You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.

This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.

As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.

This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.

Responsibilities

Technical Leadership & Innovation

• Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
• Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
• Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.

Research → Prototype → Production

• Develop prototypes for key technologies to validate new approaches and de-risk system design.
• Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
• Translate advances in ML into scalable, production-grade systems with measurable impact.

Agentic Systems & Applied ML

• Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
• Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
• Establish patterns for planning, decision-making, and tool orchestration within complex systems.

Evaluation, Quality & Reliability

• Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
• Establish evaluation systems that connect model performance to task success and system-level outcomes.
• Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.

ML Systems & Platform Integration

• Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
• Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
• Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.

Enterprise & Regulated Deployments

• Build and deploy enterprise-grade AI systems used by global customers in production environments.
• Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
• Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.

Communication & Influence

• Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
• Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
• Drive alignment across research, engineering, and product through strong technical leadership.

Mentorship & Organizational Impact

• Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
• Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
• Influence technical direction beyond immediate teams through high-impact, cross-functional work.

Requirements

• 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
• Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
• Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
• Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
• Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
• Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
• Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
• Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
• Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.

Nice to Have

• Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
• Experience building and operating AI/ML platforms that support the full model lifecycle.
• Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
• Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
• Prior experience operating at the Staff or Principal level in a scaling organization.

Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About The Role

As Principal Software Engineer, you’ll own the core execution model and platform architecture of Trase OS - the shared platform (“agentic operating system”) that powers all Trase deployments in regulated environments. You’ll define the abstractions and APIs that connect workflows, agents, tools, and product surfaces, and ensure the correctness, scalability, and extensibility of the system.

This is a company-critical role: you are responsible for how the system behaves under real-world conditions, including failure, scale, and security constraints. Your work sets the technical direction for the platform and acts as a force multiplier across all engineering teams.

Clean abstractions and correctness-under-failure are critical because we operate long-lived agents in healthcare/defense environments where auditability and reliability are non-negotiable.

Why This Role Is Needed

Trase OS is an orchestration-heavy system coordinating long-lived workflows, agents, and tools across multiple services and environments.

As the platform evolves, the primary risks shift from implementation to system design quality:

• Poor abstractions create tight coupling across services
• Workflow execution becomes difficult to reason about under failure
• Platform capabilities fragment instead of becoming reusable primitives
• Scaling introduces complexity instead of leverage

This role exists to:

• Define clean, durable abstractions for the platform execution model
• Ensure correctness and determinism in workflow execution
• Translate evolving product requirements into coherent platform architecture
• Enable teams to build on Trase OS without introducing systemic complexity

What Makes This Role Hard

• You are designing systems where failure is the norm, not the exception, and correctness must be preserved across retries, restarts, and partial execution
• You must balance clean abstractions with real-world constraints (performance, security, multi-tenant environments)
• Decisions made here become foundational primitives used across all products and teams
• The system must remain understandable and auditable, even as complexity and scale increase

Responsibilities

• Architect & lead the core execution model (state machine, lifecycle, resource model, failure semantics)
• Design platform APIs/SDKs connecting workflows, agents, tools, and product surfaces; drive versioning & compatibility
• Guarantee correctness via idempotency, deterministic replays, compensating actions, and data integrity
• Engineer reliability at scale: concurrency controls, rate limits, backpressure, sharding/partitioning, and workload isolation
• Build security & governance into the core: RBAC/ABAC, policy enforcement, fine-grained audit & lineage
• Deliver observability: distributed tracing, structured logs, metrics, and evaluation hooks; build an “explainable trail” of agent actions
• Own quality: design reviews, test strategy (unit, property, chaos), performance baselines, SLOs, incident response, and postmortems
• Mentor & unblock senior engineers; partner with Product, Security, and Customer teams to translate requirements into durable primitives
• Make pragmatic choices on storage, queueing, and compute; create paved roads that accelerate all other teams
• Define system boundaries and reduce cross-service coupling through clear architectural patterns
• Drive platform-wide standards for correctness, reliability, and API design across teams
• Balance short-term delivery with long-term architectural integrity, ensuring the platform evolves without accumulating systemic risk

Principal-level Technical Leadership

• Define and drive the long-term technical architecture of Trase OS across teams and domains
• Influence company-wide technical direction for platform and product systems
• Lead cross-team initiatives that shape how workflows, agents, and platform primitives are built and evolve
• Partner with leadership to align technical architecture with product and business strategy
• Mentor senior and staff engineers and raise the bar for system design and architectural thinking

Requirements

• 12-15+ years of experience building distributed/platform systems, including significant experience defining architecture across teams or domains 
• 10+ years owning mission-critical runtimes or workflow/orchestration systems
• Deep expertise with durable execution (e.g., state machines, event sourcing, saga/compensation, idempotency, exactly/at-least-once semantics)
• Proven track record with security & governance in production systems (auth, RBAC, audit, policy)
• Hands-on with observability (Grafana or equivalent), including trace correlation across async boundaries
• Strong systems design across storage, queues, schedulers, and evented architectures; performance tuning under load
• Excellence in a modern language (e.g., Go, Rust, Java, or TypeScript) and cloud-native stacks (containers, CI/CD, IaC)
• Comfortable operating in regulated or high-assurance environments; bias toward correctness, clarity, and documentation
• Proven ability to influence technical direction across an organization and drive adoption of architectural standards
• Ability to incorporate advance LLM capabilities into system design and platform architecture decisions where appropriate

Nice to Have

• Prior work on workflow engines (Temporal/Cadence/AWS Step Functions, Argo, Airflow) or serverless runtimes
• Experience with policy engines (OPA), secrets/KMS, or data-handling controls (PII/PHI)
• ML/LLM evaluation frameworks, tool/plugin architectures, or embedding model governance into execution
• Government or healthcare experience (HIPAA, audit readiness) and multi-tenant isolation

Salary Range: $240,000-290,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About the Role

Location: Seattle, WA area

As a Staff Developer Experience Engineer (DevEx), you will own the systems, tooling, and workflows that enable engineers to build, test, and ship on Trase OS quickly and safely. As the first DevEx hire, you will build the base of the platform and team. 

This is a core platform engineering role, not internal tooling support. You will design and operate the development environment, build systems, and integration infrastructure that allow teams to work effectively in a distributed, multi-service system with strict reliability and security constraints.

Your work directly determines engineering velocity, system safety, and the ability to scale the team without increasing risk.

Why this role is needed

Trase OS is a complex, evolving platform with long-lived workflows, multiple services, and deployments across environments with varying security requirements.

As system complexity grows, developer friction and release risk become the primary bottlenecks. Without strong DevEx ownership:

• Cross-service changes become slow and error-prone
• Integration issues surface late (or in production)
• Local development diverges from production reality
• Each team reinvents workflows instead of building on shared foundations

This role exists to:

• Create paved roads for development and testing
• Ensure engineers can make changes confidently across services and environments
• Turn platform complexity into repeatable, reliable developer workflows

What you'll do

You will work on:

• A shared platform powering all Trase deployments
• Multi-service systems with complex integration points
• Development and testing workflows that must reflect real production behavior
• Tooling that enables safe iteration in security- and compliance-sensitive environments
  
  

You will:

• Design and maintain local development environments that mirror production behavior as closely as possible
• Build and operate build systems, CI pipelines, and test orchestration for multi-service systems
• Own integration and end-to-end testing infrastructure, including:
• Test environments and fixtures
• Cross-service test coordination
• Flake detection and reduction
• Develop internal tooling (CLI, SDKs, scaffolding) that standardizes how engineers interact with the platform
• Create repeatable workflows for building, testing, and deploying changes across services
• Improve developer feedback loops (build times, test reliability, debugging workflows)
• Partner with DevOps/SRE to ensure development workflows align with production reliability and deployment systems
• Establish and maintain runbooks, templates, and onboarding systems that reduce ramp time and inconsistency

Staff-level technical leadership

• Define and drive the developer experience strategy across Trase OS
• Establish standards for:
• Build and test systems
• Local development environments
• Cross-service integration workflows
• Identify and eliminate systemic sources of developer friction
• Partner with platform and product engineers to ensure new systems are designed with operability and testability in mind
• Mentor engineers and raise the bar for engineering productivity and development ergonomics
  
  

Qualifications

Required

• 8+ years of experience in software engineering, with significant focus on developer tooling, build systems, or platform engineering 
• Experience working in multi-service or distributed systems environments
• Strong experience with:
• CI/CD systems and build tooling
• Test infrastructure (integration / E2E)
• Developer tooling (CLIs, SDKs, scaffolding)
• Strong software engineering fundamentals (ability to build and maintain internal platforms/tools)
• Proven ability to improve developer velocity and system reliability simultaneously
• Experience driving cross-team technical initiatives
• Experience integrating LLMs into developer tooling, build systems, or internal platforms to improve engineering productivity
  
  

Nice to have

• Experience designing local-first or production-like dev environments (e.g., containerized or ephemeral environments)
• Experience reducing test flakiness at scale
• Familiarity with observability tooling for debugging developer workflows
• Experience working in regulated or security-sensitive environments
• Experience working with and extending developer productivity and build tooling to improve engineering workflows (e.g., GitHub, Linear, Bazel, SonarQube, Tilt, Notion, Cursor)

Some travel is required.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $170,000-230,000. This represents the typical salary range for this position based on experience, skills, and other factors.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability

About the Role

At Headway, we’re building the largest national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Our ability to serve patients starts with providers. As Staff Researcher for Provider Growth, you’ll lead research to inform the product vision, strategy, and execution for how we attract, onboard, and activate providers on Headway. 

In this role, you will be a strategic partner, utilizing a mixed-methods approach to uncover critical insights about our Providers. You will conduct research to inform business, product, and marketing strategies, helping us identify and unlock significant growth and differentiated product opportunities. You’ll be responsible for foundational insights and developing a nuanced understanding of diverse provider segments—practice starters vs. veterans, therapists vs. prescribers, solo vs. group practices—each with different needs, painpoints, and behaviors. You’ll share insights and make recommendations about when to personalize and when to unify, helping the team build solutions that flex to serve unique segment needs while maintaining a coherent, unified Headway experience. You'll operate with high autonomy and ownership, presenting regularly to executive leadership including our CEO and making bold recommendations backed by clear, evidence-driven rationale.

Provider growth is one of Headway’s most important levers for scaling access to affordable mental healthcare. Whether it's building a world-class referrals engine, optimizing conversion through onboarding, or laying the groundwork for future market expansion, this role is at the heart of Headway’s growth story — and critical to advancing our mission. This is a pivotal role for both Headway and our mission to make mental healthcare more accessible.

Core Responsibilities

• Lead end-to-end research projects, from identifying key questions and scoping research plans to conducting the work, synthesizing findings, and presenting actionable recommendations to stakeholders across the business.
• Employ a mixed-methods research skillset, combining quantitative data (surveys, A/B tests, behavioral analytics) with qualitative insights (IDIs, ethnography, concept testing) to develop a comprehensive understanding of how providers source, add, convert, and retain patients.
• Identify and size growth opportunities by analyzing provider behavior, patient sourcing patterns, and competitive dynamics. You will be expected to think critically about what's next for Headway and how we can best build a new mental healthcare system that everyone can access.
• Act as a strategic thought partner to product, design, and marketing teams working on the Provider growth journey, helping them define problem spaces, understand provider segments, and inform the development of new features, products, and campaigns.
• Drive a culture of research and user-centricity across the pod and broader organization by evangelizing findings and promoting a deep understanding of our diverse provider segments and their patients.
• Mentor and provide guidance to junior researchers, helping to build and scale our research practice.

Key Skills and Qualifications

• A PhD + 3 years of industry research experience (ideally with experience in a fast-moving tech environment)
• Or a Masters + 6 years
• Or a Bachelors + 8 years
• Expertise in both qualitative and quantitative research methodologies.
• A demonstrated ability to identify and frame business problems and opportunities, with a portfolio of work that shows direct impact on growth metrics.
• Experience in 0-1 product development.
• Strong analytical and critical thinking skills, with the ability to turn complex data and observations into clear, compelling narratives.
• Excellent communication and presentation skills, with the ability to influence and collaborate with diverse teams—up to and including executive leadership.
• A self-starter who is innately curious about human behavior and passionate about solving complex problems.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About This Role:

Every month, hundreds of thousands of patients and providers interact with Headway's support systems. Today, most interactions are handled by human agents working across disconnected tools. We believe CX is a product, not just a department — and the right product leader can transform how Headway supports its customers while dramatically improving both satisfaction and cost efficiency.

As Director of Product for CX, you will build Headway's CX product function from the ground up. You'll own the product vision and strategy for how patients and providers get help — from AI-powered self-resolution to context-aware agent tooling to the feedback loops that connect support insights back to the product.

You will:

• Define the vision and strategy for Headway's CX product — spanning AI-powered resolution, agent tooling, proactive engagement, channel strategy, knowledge systems, and the feedback loops that connect support insights back to the product.
• Build and lead a team of product managers focused on reducing cost-to-serve while increasing resolution quality and customer satisfaction.
• Own the AI resolution layer — build the agentic workflows and API integrations that enable the AI agent to actually resolve problems, not just answer questions. Define the autonomy framework: what AI handles without human involvement, what needs guardrails, and what requires a human.
• Build proactive engagement — systems that contact customers before they discover problems. Shift Headway's CX from reactive to proactive.
• Launch and unify all contact channels — email, text, and voice — with intelligent routing that delivers differentiated experiences based on customer context, value, and issue type.
• Own the knowledge and quality layer — machine-readable SOPs, AI evaluation frameworks and crisis escalation pathways.
• Partner deeply with CX Operations to build agent tooling that makes human agents dramatically more effective — AI copilot, full journey context, auto-generated summaries.
• Close the feedback loop: build the system that identifies the highest-impact product defects driving support volume and surfaces them to insurance platform teams for upstream fixes.
• Establish measurement frameworks that connect CX product investments to business outcomes..

You'd Be a Great Fit If...

• You are a product leader with 8+ years of experience, including at least 3 years managing PMs, with a track record of building CX/support products at scale.
• You have a strong point of view on how AI will transform customer support — and you've shipped AI-powered CX products.
• You've launched or scaled multi-channel CX systems and used intelligent routing for personalized experiences.
• You've demonstrated the ability to simultaneously reduce support costs and improve customer satisfaction.
• You thrive at the intersection of product and operations.
• Nice to have: experience in healthcare, insurance, or other industries with complex customer interactions.

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

ABOUT THIS OPPORTUNITY

onX is seeking a Business Intelligence Analyst with a passion for marketing analytics and a strong ability to translate data into actionable insights. In this role, you will support marketing measurement efforts by analyzing performance, identifying trends, and helping stakeholders make informed decisions.

You will work closely with marketing, product, and analytics partners to deliver high-quality reporting and analysis. This role is expected to operate independently on defined workstreams, contribute to team priorities, and help improve how data is used across the organization.

The ideal candidate is comfortable working with data, curious about uncovering insights, and motivated to improve business outcomes through analysis. They should be able to navigate ambiguity within their scope, communicate clearly with stakeholders, and deliver reliable, high-quality outputs. This person will report to the Business Intelligence Manager.

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

Marketing Measurement Support

• Support the development and application of marketing measurement frameworks (e.g., attribution, incrementality testing) through analysis and execution
• Partner across marketing functions (e.g., brand, growth, lifecycle) to understand campaign objectives, tactics, and measurement needs
• Contribute insights that help evaluate marketing effectiveness across channels
• Partner with senior analysts to refine approaches and improve measurement over time

Top-of-Funnel & Acquisition Analytics

• Partner with brand and digital acquisition teams to support analysis that informs day-to-day decision-making, rather than owning channel performance directly
• Apply a strong understanding of top-of-funnel metrics (e.g., impressions, reach, CTR, CAC, conversion rates) to help stakeholders interpret performance and make informed trade-offs
• Translate business questions from marketing partners into structured analyses, helping clarify what is happening and whyProvide insights on audience behavior, channel dynamics, and funnel progression, enabling marketers to optimize campaigns and investments
• Connect top-of-funnel activity to downstream outcomes (e.g., activation, engagement, conversion), helping teams understand impact without owning execution
• Support testing and learning efforts by helping design analysis, interpret results, and communicate clear takeaways to stakeholders

Collaboration & Execution

• Navigate ambiguous problem spaces by asking the right questions, defining scope, and proposing a clear analytical approach
• Communicate findings clearly to stakeholders, adapting level of detail to the audience
• Share learnings, document work, and contribute to improving team processes and outputs
• Proactively identify trends or opportunities in marketing performance and bring forward insights that inform stakeholder decisions
• Ensure accuracy and reliability of data used in analysis, validating assumptions and investigating discrepancies when they arise
• Develop a strong understanding of underlying data sources and definitions to ensure consistency in reporting and insights
• 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

• 3–5 years in marketing analytics, business intelligence, or related field
• Demonstrated ability to deliver insights that support business decisions
• Experience working with stakeholders to answer business questions using data
• Bachelor’s degree in Marketing, Statistics, Data Science, Business, or related field
• Ability to travel bi-annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

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

• Technical Skills: Proficiency in analytics tools such as Tableau, Excel, SQL, Python, or similar. Experience with A/B testing platforms and statistical modeling is a must.
• Analytical skills:Strong quantitative and analytical skills to translate complex data, identify trends, and make data-driven recommendations.
• Communication Skills: Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders. Enthusiastic collaborator with Finance, Product Management, and  Executive teams
• Marketing Acumen: Experience working with multiple types of marketing data, such as MMP and SKAd Attribution data and models, GA4, Offline/Endemic Marketing Tactics, Market Research and Sentiment, and other organic and non-organic marketing data. Relevant experience building and leveraging marketing frameworks for decision making. 
• Project Management: Advanced organizational skills with the ability to manage large, complex projects and prioritize competing demands.
• Statistical Knowledge: Understanding of statistical techniques for A/B testing, incrementally testing, regression analysis, and forecasting.

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $100,000 and $117,000 upon hire. The pay range will vary based upon experience, skills, certifications, 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 an annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

ABOUT THIS OPPORTUNITY

onX is seeking a Senior Geospatial Analyst to support the Offroad vertical, you will play a critical role in ensuring that Offroad-related geospatial content moves reliably through onX systems and into customers’ hands. You will collaborate closely with Offroad Product Managers, a Geospatial Project Manager, as well as with developers to execute geospatial work that supports the Offroad product roadmap.

This role is focused on implementation and delivery. You will apply strong technical judgment to build, maintain, and validate geospatial datasets and pipelines that are performant, scalable, and trustworthy.

This role lives within the Content domain, which is responsible for cartography, data processing, data analysis, and data sourcing across onX. You will be part of a broader team of Geospatial Analysts, Geospatial Project Managers, and Engineers supporting multiple verticals across the organization. This role reports to a Geospatial Manager.

This is a unique opportunity to lead mapping innovation at a company passionate about outdoor recreation and technical excellence.

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

• Serve as the Senior Geospatial Analyst supporting the Offroad vertical, owning the technical approach, sequencing, and delivery of geospatial work defined by the Offroad Geospatial Project Manager.
• Execute geospatial work that supports connected content initiatives by implementing datasets and workflows that enable Offroad content to be used consistently across multiple product features and experiences.
• Support content trust initiatives by executing audits, refreshes, and cleanup of high-impact Offroad datasets, applying technical judgment to ensure content is accurate, maintainable, and fit for long-term use, including identifying dataset candidates for update, replacement, or retirement.
• Leverage existing geospatial pipelines and contribute to the improvement and development of new processes as needed, ensuring reliable delivery of data from source systems into customer-facing products and services.
• Lead complex geospatial processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment to resolve ambiguity and edge cases.
• Use Claude Code and other AI tools to generate, optimize, and automate geospatial workflows, including feature extraction, segmentation, classification, conflation, and QA.
• Proactively identify data quality risks, pipeline gaps, or platform limitations and surface recommendations to the Offroad Geospatial Project Manager.
• Analyze data, create dashboards, and monitor data health metrics to provide insights that inform business decisions and support overall product health.
• Research and evaluate geospatial data sources, making recommendations for new sources or improvements to existing ones.
• Partner closely with engineers to ensure geospatial solutions are performant, maintainable, and aligned with platform best practices.
• Own the end-to-end execution quality of assigned initiatives, from intake through production release and post-launch validation.
• Use version control (Git) and collaborative workflows to drive consistency and repeatability across the broader Geospatial team.
• Provide technical guidance and informal mentorship to other Geospatial Analysts as needed.
• Communicate clearly and confidently about technical decisions, risks, and progress to cross-functional partners.
• Other ad hoc duties as assigned by the Supervisor.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 Geospatial, Geospatial Engineering, Computer Science, Hydrology, Geography, or related field; or equivalent technical experience.
• 8+ years of geospatial industry experience, including dataset sourcing, development, transformation, and deployment.
• Expert-level proficiency in QGIS and advanced geoprocessing techniques.
• Expert with SQL, cloud-based analytical databases (e.g., BigQuery), PostGIS, spatial indexing, and performance optimization.
• Strong Python skills, including experience with GDAL, geopandas, PyQGIS, and automation frameworks.
• Demonstrated ability to operate within complex spatial data pipelines, using version control (Git), and collaborative workflows to deliver reliable, maintainable solutions.
• Proven ability to use Claude Code or other AI coding assistants to generate scripts, automate tasks, and accelerate spatial workflows.
• Familiarity with Offroad-relevant datasets such as trail networks, road and route conditions, terrain data, land ownership, or other location-based content used in off-road recreation and land-access contexts.
• Familiarity with trail data sources, vendors, and key players in that space.
• Proven ability to work autonomously on complex, ill-defined projects, bringing structure, clarity, and execution rigor to ambiguous problem spaces.
• Ability to clearly communicate technical concepts to non-technical partners.
• Ability to travel bi-annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

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

• Master's degree in Geospatial, Geography, Computer Science, or a related field.
• Experience with graph-based data systems, including knowledge graphs or hierarchical spatial data stores.
• Experience working with modern geospatial data formats such as GeoParquet for scalable storage and processing.
• Experience building micro-services or distributed workflows for spatial data.
• Familiarity with cloud-based storage, Airflow, and Docker.
• Interest in off-road recreation, trail and route planning, terrain navigation, or related outdoor recreation products.
• Experience with distributed or remote teams.

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $94,000 and $118,000 upon hire. The pay range will vary based upon experience, skills, certifications, 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 an annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

About the Team & Role

Mental health care shouldn't come with surprise bills. It shouldn't cost patients hours on the phone to find out what their insurance actually covers, and it shouldn't cost providers sleep wondering whether they'll get paid for the work they did. At Headway, getting insurance right — reliably, accurately, and in real time — is one of the most important problems we solve. And it sits at the heart of a multi-billion-dollar mental health system we're building from the ground up.

We're hiring an Engineering Manager to lead the team that owns Headway's benefits platform: the core systems that determine what every patient's insurance actually covers, what they'll pay out of pocket, and how providers get reimbursed accurately. This is infrastructure that the rest of the company runs on. When it works, millions of appointments happen smoothly; when it doesn't, patients don't get care and providers don't get paid.

You'll lead a team of 4–5 engineers, co-own the roadmap with your PM, and report to our Senior Engineering Manager, who will give you the autonomy to run this team end-to-end while being a close thought partner. This is a role designed for a leader who still wants to be in the weeds — reading PRs, shaping tech specs, showing up to design reviews as a contributor. At Headway, technical credibility is how engineering managers lead.

What You'll Own

• A team of 4–5 engineers — hiring, growing, and coaching them through the most formative stretch of their careers
• A platform that sits at the core of Headway's business — every patient booking, every provider payout, and every claim depends on what your team builds
• The roadmap, in partnership with product — setting the pace, the priorities, and the bets for one of the most leveraged engineering teams at the company
• The technical standards and team culture — how the team scopes work, how it makes architectural decisions, how it responds to incidents, and how it treats on-call as a first-class concern
• A seat at the table — partnering with the leaders of claims, eligibility, billing, and payer partnerships to keep the whole system honest

You'd Be a Great Fit If...

• You built your career as an engineer first. You've spent 5+ years writing and shipping code at a senior or staff level, and you're still close enough to the craft to push back in a design review.
• You're early in your management career — maybe you're already running a small team, or maybe you've been a tech lead with a few reports and you're ready for a bigger scope. We're betting on trajectory, not tenure.
• You've built robust systems and love thinking through all the moving pieces of a complex system. You've owned things other teams depend on, and you take that responsibility seriously.
• You understand deep problems and build intelligent systems with the right leverage — whether that's agents, predictive algorithms, or the rules and infrastructure that hold it all together. You see AI as a tool for solving real business problems, not as a hammer looking for a nail.
• You're energized by mission-driven work. You want your engineering career to matter beyond the code — and you see how better infrastructure for mental health care is better access to mental health care.
• You give direct, kind feedback. You've told someone a hard truth about their work and left the relationship stronger for it.

Bonus points for:

• Deeper machine learning fluency — hands-on experience with eval loops, model rollout, or production ML systems
• Healthcare, insurance, or claims experience
• Scaleup experience, Series B through D

Compensation and Benefits:

The expected base pay range for this position is $190,000 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About This Role

We're looking for Staff PMs who are curious about what AI makes possible and eager to build in an environment where it's a core part of the toolkit — not a side project.

We are hiring across Patient, Provider, Payer, and Platform. The right candidates will bring strong product fundamentals and a willingness to build with AI in a regulated, high-stakes industry.  Staff PMs at Headway own product areas end-to-end: setting strategy, partnering deeply with engineering, data science, and design, and driving outcomes that move the company.

AI is changing how we build at Headway, and the size of opportunity for Headway to leverage AI is massive. We sit at the intersection of healthcare delivery, complex insurance systems, and a multi-sided marketplace serving tens of thousands of providers and millions of patients. AI is increasingly part of how we solve these problems — and we want PMs who are energized by that, whether they're deep in AI already or strong product thinkers ready to learn.

The Problems We're Solving

For Patients

Finding the right therapist, understanding your insurance benefits, and staying in care shouldn't be hard. Today it is. We're building AI-powered matching and personalized care navigation that help patients get into — and stay in — mental health care at scale. One million patients a month ask for a referral to a mental health provider. We're building the systems that ensure they actually get there.

For Providers

Therapists spend a staggering amount of time on administrative tasks — credentialing, documentation, scheduling, billing — instead of with their patients. We're using AI to automate clinical workflows, simplify complex insurance requirements, and give providers more time to do what they came here to do. The goal: a thriving practice on Headway that practically runs itself.

For Payers

Health insurers are asking harder questions: Is care on Headway actually working? Is it worth what we're paying? We're using AI to answer them at scale — measuring clinical outcomes, building dashboards that demonstrate responsible care, and moving toward a model where patients are matched to the right care pathways and providers are aligned around better outcomes. This work protects Headway's standing with insurers and opens doors to deeper, more strategic partnerships.

For Platform

The infrastructure underneath Headway — billing, claims, payments, and trust and safety — needs to scale reliably at the speed of our growth. We’re using AI to automate complex, high-volume workflows, detect fraud and errors faster, and build systems that get smarter over time. This is foundational infrastructure with direct impact on Headway's economics and compliance posture.

What You'll Do at Headway

• Define and own the product strategy for your area in partnership with engineering, design, data, clinical, and operations teams
• Apply AI where it matters: identify where intelligence creates step-change improvements in your product area and drive those bets from insight through production
• Set and own clear success metrics; communicate results and course-correct with urgency
• Represent the voice of your customer — patient, provider, or health plan — with conviction in every decision, grounded in data and direct research

You'd Be a Great Fit If…

• You have 8+ years of product management experience with a track record of owning complex, high-impact product areas
• You have experience with LLM systems — prompting, retrieval, evaluation, fine-tuning — and a track record of shipping AI-powered products that hold up at scale, not demos.
• You've built at scale in a marketplace, platform, or data-intensive environment — and can show the outcomes you drove
• You're energized by working in regulated, complex industries and see constraints as a product design challenge rather than a blocker
• You can influence across engineering, clinical, legal, finance, and operations — and you're equally comfortable in the data and in the room
• You have strong quantitative fluency and can partner with data scientists on experiment design and causal analysis
• You communicate with precision — in writing, in product reviews, and with senior leadership

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-EM1

ABOUT THIS OPPORTUNITY

onX is seeking a Senior Integrated Campaign Producer to drive operational excellence across high-impact, cross-functional marketing campaigns. This role sits at the intersection of multiple cross-functional Marketing, Brand, and Vertical (Hunt, Offroad, Fish, etc.) teams, enabling campaign owners to focus on strategy by building systems and processes that set campaigns up for success. This role will report to the Senior Marketing Strategic Operations Manager.

Operating Model: You will serve as the operational hub across Marketing, Brand, and Vertical teams—ensuring alignment, clarity, and momentum across all campaign stakeholders. You’ll establish standardized processes while leading project management for Tier 1 campaigns across all teams, setting them up for success before transitioning project management and execution to campaign owners and creative production. You will create a consistent and repeatable operating rhythm that enables teams to execute efficiently at scale.

This role will also drive end-to-end project management for all Brand Team-led campaigns, inclusive of creative production and execution.

This role is ideal for a systems-minded operator and builder who thrives on bringing structure and process to ambiguity, improving how teams work, and delivering impact without a predefined playbook.

WHAT YOU'LL DO

As a Senior Integrated Campaign Producer, your essential job duties and responsibilities will be split into several distinct buckets of work: 

Vertical Campaign Enablement & Process Standardization

• Build and reinforce scalable, repeatable processes for Tier 1 campaigns across all Verticals,  balancing consistency with flexibility
• Partner with Vertical teams early to define timelines, stakeholder engagement, and briefing requirements within a standardized framework
• Create seamless transition of executional ownership to the Creative Producer and Vertical stakeholders post-brief, maintaining alignment without owning day-to-day execution or retrospectives
• Improve and connect workflows across Brand, Creative, and Vertical teams to increase efficiency and reduce friction

Brand Team Campaign Management and Planning 

• Serve as the primary project manager for Brand team-led campaigns, leading end-to-end project management–from planning through creative execution, launch, and retrospective–while ensuring timelines, workflows, stakeholder alignment, and deliverables are clearly defined and executed
• Drive alignment across Brand, Creative, and Vertical teams and external partners to ensure timely and effective inputs, decisions, and handoffs
• Help identify when to outsource creative work, and help procure and manage external resources
• Manage Brand creative requests from other departments (e.g., HR) via the Brand requests Asana board
• Facilitate retrospectives for Tier 1 campaigns and translate insights into actionable improvements
• Support Annual and Quarterly Brand planning in partnership with Brand leadership, identifying risks, dependencies, resourcing constraints, and opportunities and helping translate strategic priorities into clear, executable plans

Tools, Technology & AI Enablement

• Partner with Brand, Verticals, Creative, and other teams to manage and optimize project management tools and technologies that support campaign execution
• Leverage AI to improve project management and marketing operations, including:
• AI-assisted brief writing and review
• Workflow automations that reduce manual work
• Exploring innovative applications of AI to increase efficiency, speed, and quality of execution
• Regularly bringing recommendations, education, and best practices into our workflows

Cross-Functional Collaboration

• Develop systems that integrate video project management into broader campaign workflows in order to scale our full suite of Creative operations
• Act as the operational hub across across teams, driving alignment, clarity, and execution across stakeholders
• Partner closely with Marketing, Strategic Operations, and Creative Production to improve workflows
• Build strong cross-functional relationships and influence without direct authority to move work forward
• Identify and lead new opportunities for process improvements as teams and needs evolve

WHAT YOU’LL BRING

• Eight (8) or more years of project management or strategic operations experience is required
• Proven experience managing complex, cross-functional marketing campaigns from a project management or operational lens
• Experience building or scaling processes across multiple teams or business units
• Experience building and evolving processes in ambiguous or “greenfield” environments without a defined playbook
• Strong project management skills, including timeline creation, stakeholder management, and workflow optimization
• Exceptional written and verbal communication skills in fast-paced environments
• Demonstrated ability to balance big-picture thinking with attention to detail
• Experience with and enthusiasm for using AI and emerging technologies for project management and/or Marketing operations, with a proactive, experimental mindset
• Proven ability to influence cross-functional stakeholders without direct authority
• Experience working across multiple teams and priorities with frequent context switching
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel quarterly for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

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

• Bachelor’s degree in Communications, Marketing, Business, or related field or equivalent experience 
• Experience in a matrixed or cross-functional marketing organization
• Familiarity with creative production workflows (video, design, content)
• Experience with Asana as a project management tool
• Experience with Figma as a tool for design and virtual collaboration  

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.

This position has a preference for Montana-based candidates; strongly qualified candidates will be considered in other Basecamp locations. 

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $119,000 and $140,000 upon hire. The pay range will vary based upon experience, skills, certifications, 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 an annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Compensation: $159,650

Who You Are:

Are you passionate about taking artificial intelligence to the next level, to solve problems that require modeling, reasoning, and explanation? We are looking for talented researchers interested in applying their skills towards the next generation of intelligent systems, and pursuing our mission of AI for the common good.

The Young Investigator position:

• Duration: 1-3 years
• Start date: Flexible
• Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an Ai2 project while pursuing an independent research agenda.

Who We Are: 

Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.

As a Predoctoral Young Investigator on the Robotics team, you will have the opportunity to work in a variety of research areas including:

• Robot foundation models – Investigate the scaling and generalization properties of foundation models for robotics, and contribute to developing broadly competent robots that can operate in the real world.
• Manipulation and skill learning – Develop agents that manipulate objects, follow instructions, and acquire new skills across diverse tasks, in both simulation and on real robot hardware.
• Simulation and sim-to-real – Build and leverage scalable, GPU-accelerated simulation environments for large-scale training, and develop pipelines that transfer learned policies reliably to real-world robots.
• Open source research – Make substantial contributions to the fully open methods, datasets, benchmarks, and tools that enable rigorous, reproducible, and distributed experimentation.

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Dedicated Ai2 mentor: Mentorship in research, grant writing, and more.
• 50% collaborative work on an Ai2 project + UW projects.
• 50% work on your own projects.

What You’ll Need:

• Are within one year of completing their PhD, or already have a PhD.
• Young Investigator applicants should have a strong foundation (PhD level) in one or more of the research areas listed above. 
• We look favorably upon extensive work experience and publishing peer reviewed work at top scientific venues in our field including RSS, CoRL, ICRA, NeurIPS, CVPR, ECCV, ICCV, etc.
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an Ai2 project while pursuing an independent research agenda.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we’re accelerating our AI strategy to redefine what’s possible in customer intelligence, activation, and enterprise-scale personalization. This role will own and articulate the AI product vision that differentiates our platform, spanning predictive modeling, LLMs, intelligent automation, and advanced personalization, and guide how these capabilities transform core customer workflows across industries. As the senior leader for Amperity’s AI portfolio, you will set the company’s AI principles and operating mechanisms, partner deeply with Engineering, GTM, and our customers, and represent Amperity’s AI strategy both internally and in the broader market. This role reports to the Chief Product Officer and will play a critical role in shaping the future of Amperity’s AI-driven platform.

Interesting Problems

• Define the multi-year AI product strategy that differentiates Amperity’s platform, drawing from customer insight, market trends, and emerging AI research
• Establish and champion Amperity’s AI principles, responsible AI criteria, and product philosophy across the company
• Drive long-range planning, portfolio prioritization, and investment decisions across all AI and ML product surfaces
• Own the product lifecycle for AI-powered capabilities, from ideation through delivery, scale, and continuous improvement.
• Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and activation.
• Translate complex ML capabilities into accessible, intuitive user experiences that drive adoption across technical and non-technical users.
• Ensure all AI features balance performance, explainability, safety, and reliability.
• Contribute to Amperity’s external thought leadership through publications, talks, and collaboration with academic or industry research partners.
• Partner closely with Engineering and GTM to deliver world-class AI products at scale.
• Influence executive stakeholders—Engineering, Product, Sales, CX—on AI tradeoffs, opportunities, and required investments.
• Build alignment with customers, prospects, and partners, representing Amperity’s vision for AI in the market.
• Shape operating mechanisms that ensure your organization delivers efficiently and consistently.
• Represent Amperity’s AI strategy externally through talks, publications, strategic customer conversations, and analyst engagements.
• Identify and nurture relationships with research, enterprise, and ecosystem partners to expand Amperity's AI capabilities.

About You

• 12+ years of experience in product management, AI/ML platforms, data platforms, or enterprise SaaS—with deep experience leading AI-centric product lines.
• Proven track record driving product strategy for large, data-intensive, or AI-driven products with enterprise customers.
• Strong technical fluency with ML concepts—able to partner deeply with engineering teams on topics such as:
• entity resolution & probabilistic modeling
• LLMs and RAG systems
• predictive modeling and personalization
• data governance, model evaluation, and responsible AI
• Demonstrated ability to define and achieve measurable business outcomes, with experience in revenue-linked KPIs.
• Significant experience operating cross-functionally in complex organizations and influencing executive stakeholders.
• Experience working in MarTech, AdTech, or customer data platforms.
• Prior experience scaling AI features within cloud or data-intensive environments (AWS, Databricks, Snowflake, GCP, Azure).
• Advanced degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

Location

Seattle, WA 

Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility

Compensation

Base Salary:  $200,000-$280,000. Within our pay range, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training. 

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

About the Role

Headway is looking for a Senior Manager, People Systems & Operations to join the People team to lead our HR technology strategy and operations. You will work closely with the Director of Total Rewards and People Operations to build and optimize a scalable People technology ecosystem that supports Headway's growth. This is a unique opportunity to lead a team in managing our systems while enhancing the daily service experience for all Headway employees.

We're looking for a people leader with deep expertise in People Systems and Operations, including technical Workday administration skills, who is proactive and able to thrive in a high-growth environment. You will be critical to ensuring our People initiatives are supported by robust, high-performing systems that leverage emerging technologies and automation.

You Will

• Design strategic People Systems suite, including Workday optimizations in partnership with our People Systems' Engineer
• Improve technology in order to scale Headway's lifecycle operations to provide efficient support and automations for the employee lifecycle, as well as the internal People team
• Manage and develop a team of People systems and operations professionals, fostering a culture of continuous improvement and excellence
• Partner cross-functionally (IT, People Partners, etc) to visualize and plan system integrations and workflows intuitively and securely
• For all systems workflows and programs, whether creating new or optimizing legacy processes:
• Scope roadmaps and timelines focused on simplicity, efficiency, and the strategic adoption of AI tools
• Develop and lead Change Adoption programs, including the creation of training resources to ensure clarity for all staff
• Evaluate service delivery success, maintaining benchmarks for resolution and response times
• Continuously iterate and improve People team workflows
• Assess, recommend, and implement new tools and platforms as Headway grows

You'd Be a Great Fit If…

• You have 10+ years of experience in People Operations and Systems with at least 5 years specifically focused on Workday administration
• You have a track record of managing and developing a team of People professionals
• You are deeply knowledgeable and adept in Workday (HCM, Advanced Compensation, Absence & Time Tracking) and other People systems (examples: Google Workspace, CultureAmp, Greenhouse, Glean)
• You are a strategic thinker who can map out a multi-year roadmap while also executing tactical configurations and integrations
• You are highly organized and have a proven track record of managing highly complex, cross-functional projects with diverse stakeholders
• You function well in a high-paced environment, having experience managing workflows for thousands of employees and handling rapid scaling
• You're skilled in technical support and enablement, capable of training staff on new platforms and building internal knowledge centers
• You collaborate and build credibility across the organization through strong communication

Compensation and Benefits:

The expected base pay range for this position is $169,000-$212,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Seattle

About the role

Join us to build the measurement and decision engine for patient growth.

As a Staff Data Scientist, Growth, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering. Your job is to help Headway answer the questions that matter:

• What is truly incremental?
• Where should we invest next?
• What is driving performance shifts?
• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role. 

What you will do

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.
• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.
• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”
• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.
• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.
• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.
• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.
• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).
• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.
• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.
• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.
• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.
• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.
• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.
• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.
• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.
• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).
• Experience partnering with Finance on budget allocation, payback, and scenario planning.
• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Compensation Range: $113,300

Who You Are:

Ai2’s Robotics team seeks a creative, early career Predoctoral Young Investigator who has a strong interest in language-model based artificial intelligence and natural language processing. Predoctoral Young Investigator (PYI) candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.

The Predoctoral Young Investigator position:

• Duration: 1-3 years
• Start date: Flexible

Candidates: PYI Program candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-2 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regard to work arrangements if there is a mutual fit.

Who We Are: 

Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.

As a Predoctoral Young Investigator on the Robotics team, you will have the opportunity to work in a variety of research areas including:

• Robot foundation models – Investigate the scaling and generalization properties of foundation models for robotics, and contribute to developing broadly competent robots that can operate in the real world.
• Manipulation and skill learning – Develop agents that manipulate objects, follow instructions, and acquire new skills across diverse tasks, in both simulation and on real robot hardware.
• Simulation and sim-to-real – Build and leverage scalable, GPU-accelerated simulation environments for large-scale training, and develop pipelines that transfer learned policies reliably to real-world robots.
• Open source research – Make substantial contributions to the fully open methods, datasets, benchmarks, and tools that enable rigorous, reproducible, and distributed experimentation.

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.

Your Next Challenge:

The essential functions include, but are not limited to the following:

The Allen AI Predoctoral Young Investigator offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at Ai2 on collaborative projects for the benefit of both Ai2’s initiatives and your thesis work.

• Gain strong research experience through direct collaboration with Ai2 researchers.
• Co-author papers with Ai2 researchers and get published in top venues.
• Learn about and leverage Ai2’s data, engineering infrastructure, and research tools.
• Gain industry experience in a supportive, agile, mission-driven environment.
• No grant writing, teaching, or administrative responsibilities required.

At Ai2, we value the importance of taking the next step in your research career - getting your PhD.  When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.

What You’ll Need:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program.  

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
  

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

As our Marketing Operations Manager, you’ll own the strategy and execution of our marketing infrastructure. You’ll lead the charge in evolving our marketing stack—blending traditional automation with AI to build a scalable foundation—ensuring that every system and workflow is built to support our growth as we scale.

The role will own KPI reporting and full funnel conversion metrics and will report to the Sr Director, GTM Operations. 

Interesting Problems

AI-Driven Campaign Execution & Infrastructure

• Tactical Execution: Architect and own the end-to-end campaign engine, leveraging best-in-class tools to drive high-velocity execution, rigorous A/B testing, and top-of-funnel growth
• Autonomous Workflows: Design and deploy AI-driven agents to automate the "operational tax"—orchestrating seamless audience segmentation, intelligent list management, and real-time data synchronization.
• Dynamic Personalization: Spearhead the use of GenAI to bridge the gap between data and delivery, creating a highly personalized customer journey that drives measurable top-of-funnel health.

Intelligence & Attribution

• Reporting: Build the infrastructure for tracking pipeline influence and opportunity attribution, turning raw data into actionable insights for GTM leadership.
• Lead Lifecycle: Design a scalable lead lifecycle management system that utilizes AI to monitor conversion health and predict funnel performance in real-time.
• Advanced Scoring: Establish a best-in-class scoring engine that bridges the gap between marketing engagement and sales readiness, ensuring the team is always focused on the most promising prospects.

Strategic Operations & Alignment

• Lead Handoff: Own the end-to-end strategy and process for lead orchestration—leveraging tools like LeanData and AI-driven 'Form Concierges' to ensure instant, context-aware handoffs and high-velocity alignment between marketing and sales.
• Cross-Functional Partnership: Orchestrate the AI and automation roadmap in lockstep with Sales and Marketing leadership to ensure our tech stack directly accelerates core business objectives.
• Data Governance: Implement a robust data governance framework that secures privacy compliance and enforces the high-fidelity data standards necessary for sophisticated AI modeling.
• Operational Excellence: Institutionalize governance standards for marketing automation and AI, ensuring the "marketing factory" operates with high precision and meets rigorous internal SLAs.

About You

• 8+ yrs of Marketing, Operations, or Campaign Management in high growth environments
• 2+ years admin experience with Marketo & Salesforce
• Advanced technical stack proficiency across attribution (Marketo, Bizible), ABM (Common Room), routing (LeanData), enrichment (Cognism), database architecture (Databricks, Snowflake) and ETL processes 
• Deep understanding of the Marketo-SFDC sync, including field mapping, sync errors, and how scoring/lifecycle field values flow into Salesforce
• Data-driven strategist with a proven track record of translating complex campaign performance into actionable insights
• Working knowledge of HTML and experience building emails
• Detail-oriented by nature, finding as much satisfaction in high-level process design as you do in the tactical 'final mile' of QA, proofreading, and delivering actionable feedback
• Demonstrated curiosity and commitment to continuous learning, staying current with emergent technologies (e.g., AI) and proactive exploration of how new capabilities can be applied to improve marketing operations.
• B2B SaaS marketing preferred

Location

We have a hybrid work model for employees based in Seattle, WA, and New York, NY, with three days in the office days each week, providing a mix of in-person collaboration and remote flexibility

We will also consider fully remote in CA, CO, FL, GA, IL, MA, MN, NJ, OH, OR, and TX

Compensation

• US: NYC, SF Bay Area, Seattle, the range is $137,000 – $188,000.
• US: All other fully remote locations, the range is $120,000 – $170,000.

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Position Overview 

The Clinical Lab Technologist position will be responsible for processing medically relevant biological samples through extraction and/or high throughput next-generation DNA sequencing assays. This role will work within a team of Laboratorians in a fast-paced, high production setting to process research and clinical diagnostic samples to provide test results to patients, oncologists and other medical practitioners and researchers. As such, high attention to detail and clinical mindedness are crucial to success in this role. Adaptive’s clinical laboratories are CLIA/CAP/NYS/FDA certified, and as such this position needs to adhere to and uphold all applicable regulatory requirements. 

Working schedule: Tuesday - Friday 2:30pm - 11:00pm, Saturday 10:00am - 6:30pm

Position level I, II, or III is determined by candidates’ education, experience, and competencies as defined below: 

Scope/Impact 

Level I 

• Performs and provides general support for DNA extractions, PCR amplification, or high-throughput sequencing assays on DNA libraries in accordance with standard laboratory processes and procedures. 
• Operates and maintains laboratory equipment such as liquid handling robotics and DNA sequencers. 
• Completes tasks as assigned (e.g. routine clinical or research sample processing, validations, reagent QC runs, or special projects) accurately while following strict methodologies. 
• Provides guidance to less-experienced staff. 

Level II 

All of the above with some guidance, as well as: 

• Performs training and/or competency assessments for Clinical Laboratory Technician/Technologist team members on high complexity molecular methods.  

Level III 

All of the above with independence, as well as: 

• Suggests changes to existing laboratory procedures and processes to improve efficiency and results. 

Complexity 

Level I 

• Performs protocols under compliance with regulatory agencies, models appropriate clinical, regulatory and safety practices.  
• Makes decisions that impact quality, timeliness, and effectiveness of the team. 
• Resolves basic problems that may involve uncommon variations of issues.  
• Identifies and uses up to date, accurate information for problem solving and analysis. 
• Ensures compliance with lab regulatory agencies (GxP, FDA, ISO). 
• Keeps accurate and detailed records for all workflows following Good Documentation Practices. 

Level II 

All of the above with some guidance, as well as: 

• Suggests improvements to existing laboratory procedures and processes to improve the efficiency of the team. 
• Works on assignments requiring considerable clinical judgement and initiative. 
• Understands implications of their work performance and when to escalate issues upward. 

Level III 

All of the above with independence, as well as: 

• Identifies and uses knowledge of how supporting teams function with own team. 

Knowledge/Level of Expertise 

Level I 

• Demonstrates excellent clinical judgment and integrity by possessing specialized skills through job-related training and considerable on-the-job experience. 
• Explains technical information within the team. 
• Demonstrates understanding of underlying scientific principles of analytical methods and provides relevant information to Supervisor or Lead Technologist to assist with troubleshooting assay or instrument issues leading to appropriate corrective actions. 
• Has strong communication skills to present problems or issues to Supervisor or Lead Technologist. 
• Handles sensitive information confidentially. 

Level II 

All of the above with considerable knowledge/skills in a range of laboratory procedures. 

Level III 

All of the above with deep knowledge/skills in a range of laboratory procedures. 

Interactions, Supervision and Discretion 

Level I 

• Exhibit clear and effective communication to facilitate effective handoff procedures. 
• Follows standardized laboratory processes and procedures with some guidance on daily work. 
• Uses clinical discretion to make recommendations for improving work procedures and processes to improve efficiency. 

Level II 

All of the above with minimal guidance, as well as: 

• Provides guidance to more junior team members. 

Level III 

All of the above with independence, and frequently applies educated discretion in decision making. 

Regulatory Responsibility 

Level I, II, and III: 

• Maintain continuing education credit requirements.  
• Record nonconformances for all appropriate errors.  
• Enter and track data in a laboratory information database (LIMS)  
• Operate and maintain laboratory equipment such as liquid handling robotics and DNA sequencers.  
• Regulatory responsibilities per Good Manufacturing Practices (GMP)  
• Regulatory responsibilities per Good Clinical Practices (GCP)  
• Regulatory responsibilities per Good Laboratory Practices (GLP)  
• Regulatory responsibilities of “Testing Personnel” for high complexity testing as defined by 42CFR493.1495 
• All other duties as assigned 

Position Requirements (Education, Experience, Other) 

Required  

• Molecular biology skills (e.g. DNA Extraction, Purification, PCR, qPCR, next-generation DNA sequencing) and related technical knowledge. 
• Experience working with human specimens (e.g. blood, tissues and/or cells) and biohazardous material.  
• Strong communication and interpersonal skills, ability to collaborate across teams and disciplines. 

As well as: 

Level I Must meet ONE of the following: 

• Bachelor’s or higher in medical technology or laboratory science from an accredited institution, OR: 
• Bachelor’s or higher in one of the chemical or biological sciences from an accredited institution + 6 months of high-complexity molecular experience and/or training in a clinical laboratory (holding a CLIA Certificate of Compliance/Accreditation) 

Level II 

Must meet ALL of the following: 

• Bachelor’s or higher in medical technology or laboratory science, chemical science, or biological science from an accredited institution. 
• Minimum of 1 year of experience and/or training in a clinical laboratory (holding a CLIA Certificate of Compliance/Accreditation) meeting the definition of “high-complexity”. 
• Minimum of 3 years of pertinent molecular laboratory experience. 
• Minimum of 2 years with a Master’s or higher. 

Level III 

Must meet ALL of the following: 

• Bachelor’s or higher in medical technology or laboratory science, chemical science, or biological science from an accredited institution. 
• Minimum of 3 years of experience and/or training in a clinical laboratory (holding a CLIA Certificate of Compliance/Accreditation) meeting the definition of “high-complexity”. 
• Minimum of 2 years with a Master’s or higher. 
• Minimum of 5 years of pertinent molecular laboratory experience. 
• Minimum of 3 years with a Master’s or higher. 
• Competent in laboratory automation and demonstrated laboratory best practices. 

Preferred 

• ASCP(MB) certification  
• Specialized knowledge and skills: Experience in a clinical, high-throughput environment is preferred.  
• Working knowledge of laboratory terminology, equipment, and supplies.  
• Competent in laboratory automation and demonstrated laboratory best practices.  
• Experience working within an electronic Laboratory Information Management System 
• Self-motivated and can work independently, with minimal supervision, while also working as part of a team environment in a dynamic organization. Strong interpersonal and communication skills, both written and spoken.  
• Experience with Adaptive’s Sample Prep or PCR/Sequencing technologies or Methods. 

Working Conditions 

• Job involves working in a laboratory handling human biological specimens.
• Employees work on assigned shifts which may include late evenings & weekends.
• Occasional flexibility and willingness to work more than assigned hours is expected. 
• Individuals are required to sit or stand for much of the workday and perform data entry into computer systems.  

Compensation 

• Level I: $27.16 – $40.72 per hour 
• Level II: $34.33 – $51.54 per hour 
• Level III: $38.56 – $57.88 per hour 

Other compensation elements include

• Equity grant 
• Bonus eligible 

About the team

The SRE team was recently formed with the goals of establishing first-class observability tools and primary owners of all things production.

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with R&D to improve and optimize availability.

• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring
• Conduct periodic on-call duties and emergency response

What You'll Bring

• At least 3+ years of experience as an SRE, Infra Backend in a SaaS environment.
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Configuration management, such as Ansible/Chef/Puppet/ArgoCD
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab/Phabricator/gerrit
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Participated in Kubernetes migration projects
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

About the team

The SRE Incident Response team is responsible for handling critical application\infrastructure alerts, orchestrating the war room process and enabling first class observability and alerting systems. 

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

On-call coverage is 7 days a week, starting at noon, with the shift ending at 6:00pm. 

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with engineering and DevOps to improve and optimize availability.

• Manage and participate in incident war rooms, escalating and coordinating response for critical workflow alerts.
• Perform deep-dive troubleshooting for application, transaction, and general technical issues.
• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring

What You'll Bring

• At least 3+ years of experience as an SRE incident response engineer
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

The Total Rewards Analyst is a cornerstone of our People team, playing a strategic role in shaping the employee experience at impact.com. This position is central to ensuring our global compensation and benefits programs are not only competitive but also equitable, scalable, and deeply aligned with our mission and values. You will be a key player in analyzing data that informs critical business decisions, administering programs that directly affect every employee, and contributing to projects that enhance our ability to attract, retain, and motivate top talent globally. The ideal candidate is a data-driven problem-solver with a passion for detail and a desire to build and maintain a world-class rewards environment.

What You'll Do:

Compensation Analysis & Administration:

• Conduct comprehensive market pricing and analysis by benchmarking jobs against external survey data (such as Radford and Mercer) and internal frameworks to ensure market competitiveness and define competitive salary ranges.
• Manage and execute the complete annual compensation review cycle, including salary increases, bonus payouts, and equity awards, from data preparation and system readiness to manager support and employee communication.
• Perform in-depth job evaluations for new and existing roles, including analysis of job descriptions and assigning them to the appropriate level in our job architecture to ensure internal equity.
• Develop sophisticated cost models to analyze the financial impact of proposed compensation adjustments, new hire offers, and potential changes to compensation structures or incentive plans.
• Act as a key partner in the design, administration, and communication of various variable incentive plans, ensuring that calculations are accurate and payments are delivered on time.
• Participate in and submit data to third-party compensation surveys to ensure our market data remains current and relevant.
• Prepare and deliver reports and dashboards on key compensation metrics to People leadership and business managers, providing actionable insights.

Benefits Administration & Employee Support:

• Support the day-to-day plan oversight of all U.S. and global benefits programs, including health (medical, dental, vision), life and disability insurance, retirement plans (401k, pension), and wellness initiatives.
• Partner with benefits vendors and brokers to ensure a high level of service, troubleshoot claim and eligibility issues, and manage data integrations.
• Lead the planning and execution of the annual open enrollment process, including developing communication materials, hosting employee information sessions, and ensuring accurate system configuration and data transfer.
• Oversee leave of absence administration in partnership with our third-party administrator, providing guidance to employees and managers on policies and processes for FMLA, disability, and other leave types.
• Ensure all benefits programs comply with regulatory requirements (e.g., ERISA, COBRA, HIPAA) by assisting with required notices, reporting (e.g., 5500s), and audits.
• Continuously review and benchmark our benefits offerings to identify opportunities for improvement and ensure they remain competitive and aligned with employee needs and company culture.

What You Bring:

• Bachelor’s degree in Human Resources, Finance, Business Administration, Economics, or another quantitative field or equivalent experience.
• 3+ years of dedicated experience in an analytical role focusing on compensation and/or benefits.
• Advanced proficiency in Microsoft Excel is essential; you must be comfortable building complex formulas, pivot tables, and data models to analyze large datasets.
• Exceptional analytical, quantitative, and problem-solving skills, with a demonstrated ability to draw insights from data.
• Impeccable attention to detail and a steadfast commitment to accuracy and data integrity.
• Proven ability to manage sensitive and confidential information with the utmost discretion and professionalism.
• Excellent written and verbal communication skills, with the ability to explain complex topics (like compensation philosophy and benefits plans) in a clear and concise manner.

Preferred Qualifications:

• Direct experience working with compensation survey data from major providers such as Radford or Mercer.
• Hands-on experience with a modern People Technology platform, with a strong preference for Workday.
• Prior involvement in administering annual compensation cycles (merit, bonus, equity).
• Experience in benefits administration, including vendor management and open enrollment support.
• Demonstrated project management skills with the ability to manage multiple priorities in a fast-paced environment.
• A Certified Compensation Professional (CCP) or similar certification is a strong plus.

Salary Range: $70,000 - $80,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. 

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Columbus  #LI_Seattle. #LI_NewYork  #LI_SantaBarbara

About the Role:

Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential:

API Core: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.

API Capabilities: You'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use. You'll launch new models and ship the primitives that make Claude more capable with every release. You'll partner directly with research and inference to productionize what's next.

API Knowledge: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.

Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.

API Agents: You'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API. You'll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users. You'll partner with research to bring cutting-edge agent capabilities to production.

Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.

Passport: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.

You Might Be a Good Fit If You:

• Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent 
• Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution
• Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
• Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems
• Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use
  Care deeply about investing in the mentorship and growth of your peers
• Have experience with distributed systems, API design, and cloud infrastructure at scale
• Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward

Role Purpose

LevelTen Energy is on a mission to accelerate the energy transition. We run the world’s largest clean energy marketplace, connecting buyers and sellers, and enabling them to get deals done faster with cutting-edge market intelligence reports and software, and transaction tools. Since being founded in 2016, LevelTen’s platform has facilitated over $14.8 billion in clean energy transactions.  

Join us on a mission that matters.

We are seeking an Associate to join our Transactions Team to facilitate renewable energy transactions between buyers and sellers. We are looking for a motivated self-starter with strong organizational skills who is eager to support renewable energy transactions at scale — and who is excited about using AI and automation to do it better. In this role, you will sharpen your project management skills, build and deploy tools that improve how our team operates, and have a front-row seat to the rapidly evolving landscape of renewable energy project development and corporate procurement. You will develop relationships across a wide range of industry contacts, including renewable energy developers, originators, and corporate procurement managers. LevelTen offers real opportunities to take on expanding responsibilities as the company continues to scale and innovate.

Duties and Responsibilities

• Platform Expertise – Become a subject matter expert on the LTE Platform to support users, manage platform data, and troubleshoot issues for internal and external stakeholders.
• Process Automation & Operations Improvement – Identify workflow inefficiencies and design automated tools and processes — leveraging AI where applicable — to improve the efficiency and outcomes of RFPs and other recurring operations.
• Project Management Support – Support the Transaction Manager with project management and communications across Energy Marketplace processes, including reviewing offers, coordinating internal and external communications, scheduling meetings, and maintaining meeting notes and general organization.
• Research & Analysis – Conduct research and analysis on market trends in renewable energy products, pricing, and regulation, including general market research and ad hoc analysis of LevelTen data.
• Product Improvement – Proactively identify and help scope platform enhancements, and provide structured feedback on new LTE Platform features.

Qualifications

• 1+ year of full-time professional experience (preferred) or relevant internship experience, ideally in energy or sustainability.
• Genuine interest in building a career in renewable energy and sustainability.
• A self-starter mindset with a strong eagerness to learn and take initiative.
• Exceptional organizational skills and attention to detail.
• Excellent written and verbal communication skills, including comfort communicating with external stakeholders by phone and email.
• Ability to work cross-functionally across internal teams.
• Hands-on experience with AI tools, with an interest in applying them to automate workflows and build internal resources.
• Proficiency in Microsoft Office Suite; Tableau experience is a plus.

Benefits / Perks

• Full Medical, Vision and Dental coverage
• Wellness Credit
• Flexible vacation policy
• 11 paid company holidays
• 401k

In the Seattle office:

• Casual dress code
• Commuter benefits
• Standing desk options
• Regular company-sponsored events
• Hybrid in-office/work from home schedule

Additional Information

• This position can based out of our offices in either Seattle, WA, Austin, TX, or Denver, CO (hybrid work schedule). 
• The estimated compensation for this position is $72,000-90,000 per year, based on experience and qualifications. In addition, this position is eligible for an annual bonus and an equity grant.
• Must be legally authorized to work in the U.S. without a current or future need for visa sponsorship.

Equal Opportunity Employer

LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status.

Accessibility

If you are an individual with a disability and need assistance completing the online application or during the interview process, please call 1-800-995-2152. Please leave a message and a member of our People team will return your call within three business days. Alternatively, an email may be sent to hr@leveltenenergy.com. “Applicant Accommodation” should be included in the subject line of the email. Please note that this phone number and email are only for those individuals who would like to request an accommodation to apply for a job.