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adversarial ai offensive security engineer

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Red Team Specialist
 
 
 
 Type:
 
 
 Full-time or Part-time Contract Work
 
 
 
 
 Compensation:
 
 
 $29/hour
 
 
 
 
 Location:
 
 
 Remote
 
 ; Geography restricted to
 
 USA, Brazil
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Evaluate conversational AI models for vulnerabilities through jailbreaks, prompt injections, and misuse cases.
 </li>
 <li>
 Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
 </li>
 <li>
 Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.
 </li>
 <li>
 Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
 </li>
 <li>
 Work independently and asynchronously to meet deadlines while improving AI model performance.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Prior experience in red teaming (AI adversarial work, cybersecurity, socio-technical probing).
 </li>
 <li>
 Native-level fluency in English and Brazilian Portuguese.
 </li>
 <li>
 Strong communication skills to explain risks clearly to technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Adversarial ML (jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction).
 </li>
 <li>
 Background in Cybersecurity (penetration testing, exploit development, reverse engineering).
 </li>
 <li>
 Expertise in Socio-technical risk (harassment/disinfo probing, abuse analysis, conversational AI testing).
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 Hourly contractor, Paid weekly.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Adversarial AI Offensive Security Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
 
 
 The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
 
 
 
 About The Role
 
 
 
 As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You&rsquo;ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You&rsquo;ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
 </li>
 <li>
 Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
 </li>
 <li>
 Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
 </li>
 <li>
 Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
 </li>
 <li>
 Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Demonstrated experience in deep learning and transformers models
 </li>
 <li>
 Experience with content understanding or abuse prevention with LLMs is a plus
 </li>
 <li>
 Proficiency in frameworks like PyTorch or Tensorflow
 </li>
 <li>
 Strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams.
 </li>
 <li>
 Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
 </li>
 <li>
 Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $266K - $555K
</div>

Machine Learning Engineer, Integrity

DoorDash

<div><h2 class="jobSectionHeader">About the Team</h2>

At DoorDash we're building the industry's most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security is paramount to the success of our business, and DoorDash Security aspires to be the world's best security team. We are committed to protecting our people, partners, customers, and technologies with robust safeguards and unwavering vigilance.
<h2 class="jobSectionHeader">
About the Role</h2>

The Senior Security Engineer, Red Team will be responsible for conducting threat intelligence-informed adversary emulations to simulate real-world cyber attacks and proactively identify security improvement opportunities in the DoorDash environment. This role will work closely with cross-functional teams across the company and assess the security posture of DoorDash's critical assets and products.

This role operates with the necessary freedom and accountability to complete full-scope Red Team operations against any valuable objectives in the company, providing a crucial feedback loop for all efforts in upholding customer trust.
<h2 class="jobSectionHeader">
You're excited about this opportunity because you will&hellip;</h2>
<ul><li>Plan and execute realistic adversary simulations using curated threat intelligence to assess security opportunities, and detection and response capabilities</li>
<li>Hunt for vulnerabilities across AI systems, payment infrastructure, autonomous delivery hardware, and emerging technologies before adversaries do</li>
<li>Exercise range of expertise to include cyber, insider, and fraud Red Team testing scenarios.</li>
<li>Build custom tools, exploits, and payloads tailored to DoorDash's unique and evolving tech stack</li>
<li>Partner with Blue Teams to escalate emerging threats and develop proactive detection or defensive strategies</li>
<li>Advise leadership on emerging threats and shape the security strategy for one of the world's most complex logistics platforms</li>
</ul><h2 class="jobSectionHeader">We're excited about you because&hellip;</h2>
<ul><li>5+ years of experience in Red Teaming and Purple Teaming</li>
<li>You are passionate about offensive security and care about improving your craft every day</li>
<li>You think like an adversary. You have deep, experiential knowledge of APT and insider threat TTPs, not just theoretical familiarity</li>
<li>Experience partnering with cross-functional teams to secure diverse environments, providing feedback loops that articulate business risks and generate actionable intelligence</li>
<li>You've run full-scope operations across multi-platform and cloud environments, and you know how to build the malware and tooling to support them</li>
<li>Strong knowledge of one of Python, Golang, Rust, Kotlin, Java, or Powershell</li>
<li>Experience using and developing tooling, methodologies and scalable infrastructure to support red team engagements capabilities (e.g. command and control frameworks, phishing environment, exploits)</li>
<li>Experience with Command and Control (C2) frameworks</li>
<li>Experience with Defense Evasion to bypass security tooling (e.g. Endpoint Detection and Response)</li>
<li>Excellent understanding of information security operations related frameworks and standards (e.g., MITRE Att&amp;ck)</li>
<li>Experience providing technical leadership and guidance, and thinking strategically and analytically to solve problems</li>
<li>Excellent communication, presentation, and stakeholder management skills</li>
<li>Engages with a people-first approach, is able to facilitate a conversation rather than dictate it, and is empathetic to divergent viewpoints</li></ul> 
 
We expect this position to be filled by 5/19/25.<div><h2 class="jobSectionHeader">
About DoorDash</h2>

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. 
 
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
<h2 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h2>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &quot;protected categories,&quot; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.</div></div>

Senior Security Engineer, Red Team

Harmonic Security

<div><h3 class="jobSectionHeader">About Harmonic Security</h3>
Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently.
We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In-Q-Tel.
We&rsquo;ve achieved early traction and product-market fit, and we&rsquo;re now entering the phase where technical credibility, customer trust, and execution in the field will define the category. This role sits at the center of that inflection point. You&rsquo;ll shape how our most strategic customers experience Harmonic, influence the product roadmap through real-world insight, and build the technical field organization that helps turn early momentum into a category-defining company.<h3 class="jobSectionHeader">
About the Team</h3>
You'll report to the VP GTM Strategy &amp; Operations and work closely with product, engineering, marketing, and partner teams. This is a highly cross-functional role where you'll serve as the technical bridge between prospects evaluating our platform, customers deploying it, and partners extending our reach. You'll build and lead a world-class solution architecture team while delivering solutions that meet complex enterprise security requirements.<h3 class="jobSectionHeader">
About the Role</h3>
We're looking for a rare combination: a security architecture expert who can build and lead teams, architect enterprise solutions, and serve as a trusted technical advisor to our customers' security leaders. This is a player-coach role where you'll split your time between hands-on customer engagement, team building, and technical thought leadership. If you've ever been called a &quot;field CTO&quot; or wished you could combine deep security expertise with the thrill of customer-facing problem solving, this role is for you.<h3 class="jobSectionHeader">
What You Will Do</h3><ul><li>
Serve as the technical voice of our company in strategic customer conversations, from initial discovery through proof-of-concept and deployment</li><li>
Conduct security architecture assessments and design solutions that address complex enterprise requirements</li><li>
Present to CISOs, security architects, and engineering teams with credibility and executive presence</li><li>
Handle technical objections and competitive scenarios with confidence and depth</li><li>
Recruit, hire, and mentor a world-class team of solution architects</li><li>
Partner with Director of Technical Enablement to create technical enablement programs for internal and partner teams</li><li>
Establish best practices for customer engagement, technical discovery, and proof-of-concept delivery</li><li>
Act as the voice of the customer to product and engineering teams, translating field insights into roadmap priorities</li><li>
Publish technical content on GenAI security, MCP architecture, and modern threat landscapes</li><li>
Speak at industry conferences and customer events</li></ul><h3 class="jobSectionHeader">
What Success Looks Like</h3><ul><li>
Become the go-to technical leader for our most strategic customer opportunities</li><li>
Refine and improve SA processes and customer facing interactions, maintain conversion rates from POV to close at 50%</li><li>
Deliver SA enablement and field readiness for new product launches: Endpoint Agent, MCP Gateway</li></ul><h3 class="jobSectionHeader">
What You Bring</h3><ul><li>
10+ years in enterprise security with deep knowledge of security architecture, zero trust, threat modeling, and compliance frameworks</li><li>
Hands-on experience with SaaS security models, API security, and cloud-native architectures</li><li>
Strong understanding of emerging GenAI security challenges: prompt injection, data leakage, model poisoning, and adversarial attacks</li><li>
Familiarity with gateway architectures, proxy technologies, and protocol-level security (MCP/Model Context Protocol experience a major plus)</li><li>
Experience with endpoint security, including agent deployment, telemetry collection, and EDR/XDR concepts, and real-time threat detection</li><li>
Proven track record of closing complex, enterprise-level security deals through technical influence</li><li>
Experience building technical teams from the ground up in startup or high-growth environments</li><li>
Exceptional demo skills and ability to translate technical complexity into business value</li><li>
Experience recruiting, developing, and retaining top technical talent</li><li>
Strong coaching and mentoring skills with a focus on career development</li><li>
Comfortable with the ambiguity and pace of Series A startup life</li></ul><h3 class="jobSectionHeader">
You Might Be a Fit If</h3><ul><li>
You've been called a &quot;field CTO&quot; and loved it</li><li>
You've built technical teams before and know what great looks like</li><li>
You get energized by customer conversations and solving hard technical problems</li><li>
You've navigated competitive deals and won on technical merit</li><li>
You're excited about GenAI security and the opportunity to define a new category</li><li>
You thrive in startup environments where you can shape both product and process</li><li>
You believe the best technical leaders are also great coaches and mentors</li></ul>
Benefits<h3 class="jobSectionHeader">
Why Join Us</h3>
This is not just a job. It is an opportunity to be part of a team that is redefining cybersecurity and AI safety. We believe today's talent is tomorrow's success, and we are committed to creating an environment where you can do the best work of your life.<ul><li>
Competitive compensation and meaningful equity with a direct stake in Harmonic's success</li><li>
Comprehensive benefits including health, dental, vision, and 401k matching</li><li>
A small, passionate team that values transparency, creativity, and learning</li><li>
Thoughtful leadership that cares deeply about growth, impact, and people</li><li>
Annual global offsites</li><li>
The chance to directly shape both our product and our culture as we build a category-defining company</li></ul><h3 class="jobSectionHeader">
Harmonic's Core Values</h3>
Flourish in the Unknown Never Full
We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance.
Never Full
We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more.
Perfect Harmony
We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work.</div>

Head of Solution Architecture/Sales Engineering

PARASAIL

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h3 class="jobSectionHeader">
Job Description</h3>

The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.
<h3 class="jobSectionHeader">
Technical Abilities</h3>
<ul>
<li>Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.
</li>
<li>Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.
</li>
<li>Programming Languages &amp; Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
</li>
<li>Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.
</li>
<li>Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
</li>
<li>Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
<ul>
<li>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
</li>
<li>Demonstrated ability to build and secure scalable, high-performance backend.
</li>
<li>Hands-on to build brand new system and make end to end work
</li>
<li>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
</li>
<li>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.
</li>
</ul><h3 class="jobSectionHeader">What You Bring to the Table</h3>

This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</div></div>

Senior Software Engineer, Distributed Systems

Domu

<div>
 At Domu.ai, we're building the infrastructure that will replace call centers at the world's largest financial institutions. Voice AI that handles thousands of live calls every day for Fortune 500 banks and insurers, end-to-end. Call volume is 3x-ing monthly. We're hitting problems most startups never see: real-time voice AI at scale, legacy banking infrastructure, enterprise telephony, and regulatory constraints.
 
 
 The role
 
 
 \ As the
 
 Software Engineer
 
 you'll.....
 
 
 <ul>
 <li>
 Build and own core product features: Backend systems, APIs, voice infrastructure, wherever the product needs you. Code ships daily and goes live for Fortune 500 clients.
 </li>
 <li>
 Work on things most engineers never touch: telephony systems, real-time voice processing, and integrations with legacy financial infrastructure. The problems are hard. That's the point.
 </li>
 <li>
 95%+ of your time will be coding and building.
 </li>
 <li>
 We're looking for engineers who can own one of these areas: the orchestration layer that coordinates our voice AI systems, infrastructure scaling and low-level performance, security as a generalist building for Fortune 500 financial institutions, or product engineering close to users finding high-leverage wins.
 </li>
 <li>
 Know what it feels like when things are working: real customers, real revenue, a product people actually need. You also know the chaos, the pace, the things that break at the worst possible time. You've seen both sides and you want to do it again with a team that's already found traction.
 
 
 </li>
 </ul>
 How we work
 
 
 <ul>
 <li>
 Four engineers. Everyone ships to production.
 </li>
 <li>
 We do dailies. We groom tickets. But we keep process light and in service of the work, not the other way around. We'd rather spend time building than talking about building.
 </li>
 <li>
 We care about doing great work. Not just shipping, but shipping something you're proud of. Clean abstractions. Systems that don't page you at 3am. Code you wouldn't be embarrassed to open-source. We build things that last because we're the ones maintaining them.
 </li>
 <li>
 Ownership here is real. You won't be handed tasks from a backlog. You'll see what needs to happen and do it. That's how a small team ships to Fortune 500 customers.
 </li>
 <li>
 We hire people whose judgment we trust, then get out of their way. No passengers.
 
 
 </li>
 </ul>
 What you bring
 
 
 <ul>
 <li>
 3+ years of experience as a software engineer
 </li>
 <li>
 Previously worked at a Series A (or similar stage) startup and went through the same hypergrowth challenges Domu is facing
 </li>
 <li>
 Experience dealing with legacy systems and refactoring them into sustainable, scalable architectures
 </li>
 <li>
 Strong backend fundamentals - can own features end-to-end from design to production
 </li>
 <li>
 Proficiency in TypeScript and/or Python
 </li>
 <li>
 Cares about doing great work - clean abstractions, reliable systems, code you'd be proud to open-source
 
 
 </li>
 </ul>
 Extras we'd be excited about
 
 
 <ul>
 <li>
 Telephony/Voice infrastructure - SIP, SRTP, WebRTC, or platforms like Telnyx, Twilio, LiveKit
 </li>
 <li>
 High-throughput distributed systems - queue workers, event-driven architectures, handling 1M+ daily transactions
 </li>
 <li>
 PostgreSQL at scale - query optimization, replication, connection pooling
 </li>
 <li>
 Kubernetes - production deployments, scaling stateful services
 </li>
 <li>
 Real-time data pipelines - ClickHouse, Kafka, or similar OLAP/streaming solutions
 </li>
 <li>
 AWS infrastructure - SQS, containerized deployments
 </li>
 <li>
 Compliance-conscious environments - SOC 2, ISO 27001, or fintech/enterprise security requirements
 </li>
 <li>
 Experience with AI/ML integrations in production (LLMs, voice AI)
 </li>
 <li>
 Familiarity with contact center / dialer systems
 </li>
 <li>
 You've been through the early stages of a startup before.
 </li>
 <li>
 You care about the craft. You want to build something good, not just something that works.
 
 
 </li>
 </ul>
 Why Domu
 
 
 <ul>
 <li>
 You'll be engineer #5. Small team, high leverage. Your work ships immediately.
 </li>
 <li>
 Real traction. Post-revenue, Fortune 500 customers, 3x monthly growth. This isn't a bet on an idea. The product works and customers are paying for it.
 </li>
 <li>
 You'll learn how enterprise deals work from an engineering seat. You'll see the direct line between your code and revenue.
 </li>
 <li>
 Early enough to shape the product, the team, and the culture.
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 Healthcare
 </li>
 <li>
 weekly stipend for food and transportation
 </li>
 <li>
 gym membership
 </li>
 <li>
 equipment budget (strict rules on noisy mechanical keyboards)
 </li>
 <li>
 whatever tools you need
 </li>
 </ul>
</div>

Software Engineer

HumanSignal

<div>
 
 The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
 
 
 
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 
 
 Our open-source product,
 
 Label Studio
 
 , has become the
 
 de facto standard
 
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 
 
 
 Label Studio Enterprise
 
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 
 
 
 About the Role
 
 
 
 We're looking for an ambitious AI Engineer to
 
 transform how our go-to-market team operates
 
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 
 
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 
 
 This is a highly hands-on role for someone who enjoys
 
 shipping systems, experimenting rapidly, and solving messy real-world problems with software.
 
 
 
 
 Why This Role Matters
 
 
 
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 
 move faster, learn faster, and scale without proportional headcount.
 
 You'll help us:
 
 
 <ul>
 <li>
 Turn GTM from a set of tools into a cohesive, intelligent system
 </li>
 <li>
 Scale workflows without scaling headcount
 </li>
 <li>
 Improve signal quality and timing for marketing and sales
 </li>
 <li>
 Increase learning velocity across the entire funnel
 </li>
 <li>
 Shape how an open-source, bottom-up product grows into enterprise adoption
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 
 Build &amp; Automate the foundational GTM AI stack
 
 
 
 <ul>
 <li>
 Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
 </li>
 <li>
 Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
 </li>
 <li>
 Build internal tools and lightweight services that accelerate GTM teams
 </li>
 <li>
 Replace manual workflows with scalable, automated systems
 
 
 </li>
 </ul>
 
 AI-Powered Systems &amp; Agents
 
 
 
 Design and deploy
 
 AI-driven workflows and agents
 
 that augment GTM teams.
 
 
 Examples include:
 
 
 <ul>
 <li>
 Lead qualification, inbound lead routing, and enrichment
 </li>
 <li>
 Personalized lifecycle marketing and outbound messaging
 </li>
 <li>
 Sales assist tools for deal intelligence and account research
 </li>
 <li>
 Automated account insights, pipeline analysis, and deal lifecycle management
 </li>
 <li>
 User onboarding, activation, and expansion signals
 
 
 </li>
 </ul>
 You'll continuously improve these systems using
 
 real performance data and feedback loops.
 
 
 
 
 Growth: PLG + Sales-Assisted Motion
 
 
 
 <ul>
 <li>
 Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
 </li>
 <li>
 Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
 </li>
 <li>
 Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
 
 
 </li>
 </ul>
 
 Experimentation &amp; Learning
 
 
 
 Build the infrastructure that allows the GTM team to
 
 learn quickly and iterate with confidence.
 
 
 
 <ul>
 <li>
 Design and run experiments across acquisition, activation, conversion, and expansion
 </li>
 <li>
 Build experimentation frameworks (feature flags, A/B testing, measurement systems)
 </li>
 <li>
 Instrument systems to capture reliable data and insights
 </li>
 <li>
 Rapidly iterate based on results, not assumptions
 
 
 </li>
 </ul>
 
 Feedback Loops &amp; Continuous Improvement
 
 
 
 Create tight feedback loops between users, product signals, and GTM actions.
 
 
 <ul>
 <li>
 Partner with head of , accessible, and actionable across teams
 </li>
 <li>
 Turn qualitative and quantitative insights into system improvements
 </li>
 <li>
 Continuously optimize workflows, models, and automation based on real outcomes
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 
 Core Skills
 
 
 
 This is fundamentally an
 
 engineering role
 
 , not traditional GTM operations. We're looking for someone who enjoys
 
 building systems, not managing tools.
 
 
 
 <ul>
 <li>
 Strong engineering background (software, data, or growth engineering)
 </li>
 <li>
 Comfortable shipping production code (APIs, services, scripts, internal tools)
 </li>
 <li>
 Experience working with data pipelines, analytics, and experimentation frameworks
 </li>
 <li>
 Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
 
 
 </li>
 </ul>
 
 Collaboration &amp; Ownership
 
 
 
 <ul>
 <li>
 Ability to work cross-functionally with Product, Engineering, Marketing and Sales
 </li>
 <li>
 Comfortable operating with ambiguity and defining the problem as you go
 </li>
 <li>
 Strong communicator who can translate between technical and GTM stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with open-source or developer-focused products
 </li>
 <li>
 Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
 </li>
 <li>
 Experience building internal tools for sales or marketing teams
 </li>
 <li>
 Prior work in B2B SaaS, data, or AI-first companies
 </li>
 </ul>
</div>

AI Engineer (GTM)

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