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Human Factors Engineer Jobs

3,239 active opportunities · Updated for October 2026

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Explore current human factors engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Asana
📍 Vancouver• Full-time• $202K – $230K/yr
1mo ago

Asana is evolving into a platform where humans and AI agents work together, and Core Integrations is helping make that platform more connected, extensible, and enterprise-ready. This team builds the extensible foundations and developer-facing capabilities that help customers, partners, and developers ensure Asana can meet their specific needs. We’re looking for a hands-on, technically strong Engineering Manager who thrives in ambiguity, cares deeply about developer experience, and can help a high-performing team ship high-quality products at the intersection of integrations, platform, and AI. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Manage and coach 6–8 engineers, fostering an inclusive culture and establishing team rituals that drive both excellence and professional growth. Servant leader who smooths the road for teams to execute Partner with product, design, professional services and UXR to translate customer pain points into a reliable technical MVP and a scalable architectural roadmap. Collaborate with cross-functional partners to balance large-scale feature launches with iterative, daily product enhancements. Guide the articulation and execution of the team’s work and ensure the team’s work ties back into high-level business goals Use your curiosity and technical taste to maintain a high bar for quality and experience on the part of the team. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 6+ years of relevant experience with leadership experience

restaigo
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse and misalignment safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the Role We are seeking exceptional researchers who can push the frontier of safety mitigations. You will help derisk frontier models by developing novel safety mitigations, developing and applying new techniques from domains like interpretability, control, and alignment to ensure the safety of OpenAI’s deployed models. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. This role requires strong technical depth and close cross-functional collaboration to ensure our safety mitigations are enforceable, scalable, and effective. We seek researchers who can partner with experts across domains such as misalignment, cybersecurity, and biology in order to develop the best possible end-to-end safety stack. In this role, you will: Work on identifying emerging AI safety risks and new methodologies for exploring and mitigating the impact of such risks Build (and then continuously refine) the evaluations that enable us to assess the extent of these risks; this might include worki

pythonawsrest
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O
1mo ago

About the team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misalignment safeguards, alignment tools, and on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Preparedness is hiring strong technical executors to support preparations for accelerated AI development, which may culminate in recursive self-improvement. This work relies on anticipating misalignment risks that might exist in the future, but might not exist now; so it’s especially important that people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment , control measures , RSI-relevant training interventions, and turning one’s technical work into established institutional practices and external-facing communications. Below is a subset of our focus areas: Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes, with a focus on bridging from today’s monitoring approaches to future-proof ones. Automated auditing: As model capabilities increase, we’ll increasingly rely on automated approaches for finding the most severe forms of model misalignments. We’ll both need to s

awsrestai
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D
Datadog
📍 New York• Full-time• From $145.6K/yr
1mo ago

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion. About the Role Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward. We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them. What we expect These are the expectations we hold for every TPM at Datadog. Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower. Build the systems that reduce the need for coordination Identify what matters before anyone asks, and automate the rest Engineer program lifecycles end-to-end See what no single team can see and own the solution Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence Build AI powered automation tools and deploy them at every stage of program execution What you will do See Across: Identify What No Single Team Can See Own large cross-functional programs spanning multiple engineering orgs, product, and business functions Proactively surface systemic risks, cross

restaigo
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D
Datadog
📍 New York• Full-time• From $184K/yr
1mo ago

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion. Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward. We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What We Expect: These are the expectations we hold for every TPM at Datadog. Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower. Build the systems that reduce the need for coordination Identify what matters before anyone asks, and automate the rest Engineer program lifecycles end-to-end See what no single team can see and own the solution Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence Build AI powered automation tools and

restaigo
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S
1mo ago

Sendbird is on a mission to build the AI workforce of tomorrow. Sendbird is the omnichannel AI agent platform enterprises choose to elevate the customer experience by initiating autonomous support & sales conversations, keeping humans in the loop for complex inquiries, and re-engaging customers with proactive business messages. We are the omnichannel AI agent platform that enterprises choose to elevate customer experience. Trusted by 4,000+ of the world’s most popular apps—including industry leaders like Match Group, Rakuten, Yahoo, and Coupang—Sendbird powers over 7 billion messages every month. The Sendbird Revenue Operations team is looking for a Head of Marketing Operations. The Revenue Operations team brings together Marketing Operations, Sales Operations, CX Operations, and Data Insights — together, we own the processes, systems, and analytics that power the entire lead-to-cash cycle. It's a fast-moving, high-impact function, and this role is central to how we grow. Reporting to our Head of Revenue Operations, you'll own the monitoring and enablement of lead and pipeline delivery. We're looking for someone who really gets marketing — someone who can build the systems, processes, and workflows that help our marketing efforts thrive and scale. This role is based in our San Mateo, California office, with the team on-site Monday, Wednesday, and Thursday each week (3+ days). This is an IC role that owns the function, the strategy, and vendor relationships. You'll be joining a team that moves with urgency, thinks in data, sweats the details, and is genuinely energized by building a high-quality pipeline for Sales. If that sounds like your kind of environment, we'd love to talk! What you will do: Lead our Marketing Operations efforts, and be a partner to the Head of Demand Generation and our Marketing stakeholders. Manage our external MOps agency that executes our Campaign Operations. Platform and Systems Ownership Own the Marketing technology stack a

restaigo
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A
1mo ago

Command by Asana is a new product for R&D teams to keep delivery on track as scope shifts, give managers visibility into progress, and enable humans and agents to work from cleaner context and ship with fewer iterations. We are looking for a collaborative Engineering Manager to lead one of the teams bringing this vision to life. In this role, you will build and empower a talented team of engineers, partner cross-functionally to shape the product roadmap, establish technical foundations, and deliver a superlative user experience. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Support, mentor, and grow a talented team of engineers to build a new product from the ground up. - Partner cross-functionally with Product Management, Design, and Data Science to define roadmap priorities and deliver intuitive product capabilities. - Guide architectural and technical decisions to ensure system reliability, performance, and long-term scalability. - Drive operational excellence and continuous delivery processes, enabling the team to iterate quickly and ship value continuously. - Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals. About you - Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. - Experience guiding and developing software engineering teams in building scalable web applications, ideally with experience leading 0-1 product development. - Solid technical background with a deep understanding of softwar

restaigo
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H
Hark
📍 San Jose• $120K – $300K/yr
9 days ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We are pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. Rather than focusing on a single layer of the AI stack, we are building foundation models, software systems, and native hardware together from the start. Responsibilities End-to-End Certification: Lead global carrier and regulatory certification programs (including FCC, ISED, CE RED, UKCA, PTCRB, and GCF) from early product definition through commercial launch. Regulatory Compliance: Manage launch readiness for wireless, safety, EMC, RF exposure, SAR/MPE, and country-specific type approvals. Strategic Partner Engagement: Build and manage technical relationships with global mobile carriers, test labs, certification bodies, and chipset vendors to understand test plans and drive lab/field testing. Cross-Functional Execution: Partner closely with hardware, software, RF, modem, QA, and product teams to triage testing issues, close certification blockers, and ensure commercial launch readiness. Market

artificial intelligenceai
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H
Hark
📍 San Jose• $200K – $400K/yr
9 days ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You own Hark's hardware distribution metric. That means the strategy and the execution behind getting our device into the market at scale in its first months. You'll be the central quarterback across carriers, engineering, product, and the business teams, holding the single Concept of Operations that everyone works from and rewriting it when the data says the plan isn't working. This is a high-ownership role where the target is measurable and yours. Responsibilities Distribution Target Ownership: Carry the unit sales number end to end, and own the plan that gets Hark there on the launch timeline. Concept of Operations: Build and maintain the single central ConOps that defines how distribution runs — channels, sequencing, dependencies, and who owns what. Channel Strategy and Execution: Turn carrier and retail relationships into committed sell-in and real sell-through, from first conversation to units moving. Cross-Functional Alignment: Pull input from carriers, engineering, product, and business teams into one plan, and keep those teams working against the same commitments. Performance Review and Adaptation: Run a constant loop on data, results, and channel feedback, and change the plan the moment the numbers say it isn't working. Launch R

artificial intelligenceai
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