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technical support engineer

GAMMA

<div><h1 class="jobSectionHeader">About the role</h1>
As the technical backbone of Gamma's support team, you'll resolve complex issues and ensure millions of users have an excellent experience with the product. That means responding to escalations, debugging tricky problems, collaborating with engineering to fix bugs, and building the technical resources that help users help themselves. Your work directly impacts user satisfaction and feeds back into product improvements.
Day to day, you'll partner with engineering, design, and product to surface patterns from customer feedback, improve internal support tooling, and help shape how we respond to issues at scale. You'll also proactively monitor user-generated content to identify potential abuse or policy violations, helping keep Gamma a safe and trusted platform.
Our team has a strong in-office culture and works in person 4&ndash;5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Respond to technical customer inquiries and support escalations via email and chat in Intercom</li><li>
Debug complex issues related to Gamma sites, leveraging APIs and technical troubleshooting skills</li><li>
Discover and iterate on improvements to internal AI tools to multiply the team's productivity</li><li>
Collaborate with engineering and design to surface product improvements and deliver effective solutions</li><li>
Build and maintain technical resources including documentation, knowledge base articles, and troubleshooting guides</li><li>
Triage bug tickets and proactively monitor user-generated content for potential abuse or policy violations</li></ul><h2 class="jobSectionHeader">
What you'll bring</h2><ul><li>
1&ndash;2 years of experience in technical customer support or QA for a highly technical product, with strong troubleshooting and analytical skills</li><li>
Excellent written and verbal communication, with the ability to explain complex topics clearly to non-technical users</li><li>
Ownership mindset and comfort in a player-coach role, with strong initiative and follow-through</li><li>
Technical background through a degree, certification, or hands-on experience in support engineering, QA, AI enablement, or software development</li><li>
Experience at an early-stage startup, or familiarity with tools like Intercom, Zendesk, Metabase, Stripe, Linear, or LaunchDarkly (Nice to have)</li></ul><h2 class="jobSectionHeader">
Compensation range:</h2>
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $120K - $165K plus benefits &amp; equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.</div>

Technical Support Engineer

Witbe

<div>
 
 
 Witbe
 
 
 
 Witbe (Euronext Growth &mdash; ALWIT) provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality &mdash; with actionable insights from Witbe's observability platform.
 
 
 
 
 
 Our latest breakthrough: Witbe Agentic AI, the industry's first agent-native test automation system for video QA. Autonomous agents plan, execute, and analyze tests at scale &mdash; adapting to UI changes, generating coverage from requirements, and continuously improving error detection. 25 years in operation. Trusted in 50+ countries. Offices in Paris, New York, Denver, San Francisco, and Montreal.
 
 
 
 
 
 
 You Know Their Names
 
 
 
 The broadcast network delivering live sports to over 100 million viewers. The telecom operator connecting a third of American households. The streaming services competing for every screen in every living room.
 
 
 
 
 
 They all run Witbe.
 
 
 
 
 
 We don't build their apps. We make sure their apps work &mdash; on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees.
 
 
 We need an engineer in San Francisco to work directly with these teams.
 
 
 
 
 
 
 Role Description
 
 
 
 You're not a backend developer working on code that ships in six months. You're not coordinating workstreams from a spreadsheet. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters. You write Python test scripts using Witbe's native SDK, pair-programming with Claude Code and AI assistants to move fast. You deploy monitoring scenarios on real devices &mdash; set-top boxes, Smart TVs, streaming sticks, phones. You configure dashboards and alerts so the customer's team can see exactly where their video service needs attention. You present findings to their engineering teams, train them on the platform, and make them autonomous. You arrive with a system that already works. No blank-page discovery phase, no months of requirements gathering. You start with a configured platform producing real data, and you train the customer to use it effectively.cThis is a technical, customer-facing, delivery-driven role.
 
 <ul>
 <li>
 Write code every day. Python is your primary tool. You'll use Witbe's SDK to script test automation scenarios, with AI coding assistants accelerating the work. You need to understand what the AI produces &mdash; classes, methods, logic &mdash; because you're responsible for production-quality output.
 </li>
 <li>
 Deploy and configure test environments &mdash; scenarios, dashboards, alarms, thresholds &mdash; tailored to each customer's video services.
 </li>
 <li>
 Analyze test results and turn raw data into insights: what's failing, why, how often, and what it means for the customer's video quality. You'll present these findings in Quarterly Business Reviews and regular check-ins.
 </li>
 <li>
 Train customer teams to operate the platform independently. The goal is building confident users, not long-term dependency.
 </li>
 <li>
 Travel to customer sites across the US and occasionally beyond (~20%) for deployments, training, and relationship building.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Technical and analytical. You can read, write, and debug Python. More importantly, you can look at a problem you've never encountered and reason your way through it.
 </li>
 <li>
 Autonomous. Witbe is 120 people with a flat structure &mdash; no management layers, no governance committees. Small teams that own their delivery. You need to be comfortable with real responsibility and minimal oversight.
 </li>
 <li>
 AI-literate. You'll use Claude Code and AI assistants daily to write production automation. You understand both the power and the limitations of AI-assisted development, and you know when to trust the output and when to rewrite it.
 </li>
 <li>
 Customer-facing. You're comfortable presenting technical findings to engineering teams at major broadcast and telecom companies. You explain complex results clearly and enjoy helping people get better at what they do.
 </li>
 <li>
 Curious. You'll learn how video streaming works end-to-end, how QoE differs from QoS, and how AI agents are transforming test automation. Genuine interest in the technology matters.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.
 </li>
 <li>
 Working proficiency in Python &mdash; scripting, debugging, and reading code confidently.
 </li>
 <li>
 Strong English communication skills, written and spoken.
 </li>
 <li>
 Willingness to travel ~20%.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus
 
 
 <ul>
 <li>
 Experience in a customer-facing technical role (solutions engineering, consulting, implementation, technical support).
 </li>
 <li>
 Familiarity with data analytics and dashboards (Tableau, Power BI, or similar).
 </li>
 <li>
 Exposure to AI coding tools (Claude Code, GitHub Copilot, Codex) and understanding of their strengths and limits.
 </li>
 <li>
 Knowledge of network protocols (TCP/IP, streaming tech like HLS/DASH).
 </li>
 <li>
 Experience at a small or mid-size company where you wore multiple hats.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Health insurance: Aetna medical coverage, 100% company-paid.
 </li>
 <li>
 Time off: 3 weeks PTO + 1 week sick leave in the first year.
 </li>
 <li>
 Retirement: 401(k) plan available.
 </li>
 <li>
 Growth: Career progression at Witbe is driven by impact, not tenure. Team members have expanded roles, changed functions, and moved internationally &mdash; based on what they delivered.
 </li>
 </ul>
 
 
 
 
 
 Why Witbe
 
 
 <ul>
 <li>
 Most technical roles at this stage are either pure development with no customer contact, or customer-facing positions with no real technical depth. This role sits at the intersection: you write real code that runs in production at the companies delivering television to America, and you work directly with their engineering teams.
 </li>
 <li>
 You'll build hands-on experience with AI-assisted Python automation &mdash; a skill set the market is only beginning to value. The customer portfolio gives you exposure to the broadcast and telecom industry at the highest level.
 </li>
 <li>
 Witbe has been operating for 25 years. We're publicly traded (Euronext Growth &mdash; ALWIT), trusted in over 50 countries, and every person on the team has a direct impact on what we deliver. Not a startup burning cash, not a corporation where your work disappears into a backlog &mdash; a profitable technology company where what you do matters.
 </li>
 </ul>
 
 
 
</div>

Test Automation Engineer

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Sr. Data Platform Support Engineer serves as the technical owner and administrator for critical enterprise data platform applications. This role is responsible for ensuring the stability, performance, and scalability of assigned systems while providing expert-level application and system support. The engineer will design, implement, and maintain integrations across enterprise applications, establish best practices for administration and security, and lead automation initiatives to improve system efficiency.
Essential Functions
Application Ownership &amp; Administration<ul><li>
Serves as the primary owner and administrator for assigned data platforms.</li><li>
Architects, configures, and maintains applications to align with business and technical requirements.</li><li>
Establishes best practices for system administration, performance optimization, risk management, and security.</li><li>
Maintains a platform road map and works with leadership to prioritize enhancements and upgrades.</li></ul>
 Support, Troubleshooting &amp; Incident Management
<ul><li>Provides expert-level application and system support to internal teams and user communities.</li><li>
Diagnoses, troubleshoots, and resolves complex application issues; escalates to infrastructure support or vendor teams as necessary.</li><li>
Performs root cause analysis and implements preventative measures to ensure system reliability.</li><li>
Maintains ownership of all assigned issues through resolution and documentation.</li></ul>
Architecture, Integration &amp; Optimization<ul><li>
Designs and implements integrations between data platforms and other enterprise systems.</li><li>
Evaluates and enhances system architecture to meet changing business needs.</li><li>
Conducts performance monitoring and tuning, ensuring optimal uptime and resource utilization.</li><li>
Defines and tracks KPIs, SLAs, and other operational metrics in collaboration with stakeholders.</li></ul>
Automation &amp; Process Improvement<ul><li>
Develops and deploys automation scripts and tools to improve efficiency and reduce manual workloads.</li><li>
Leads or participates in automation and optimization projects across the data platform ecosystem.</li></ul>
Vendor &amp; Third-Party Application Management<ul><li>
Researches, evaluates, and recommends third-party applications that align with business objectives.</li><li>
Ensures successful installation, validation, and documentation of vendor-provided upgrades and patches.</li></ul>
License &amp; Budget Management<ul><li>
Monitors license usage, forecast needs, and manage compliance with licensing agreements.</li><li>
Provides metrics and budget recommendations during annual planning cycles.</li><li>
Documentation, Reporting &amp; User Enablement</li><li>
Develops and maintains comprehensive documentation, including policies, procedures, and configuration details.</li><li>
Delivers user training sessions and promote best practices to drive adoption and proficiency.</li><li>
Provides timely and accurate reporting on application of health, performance, and project status.</li></ul>
Project &amp; Change Management<ul><li>
Manages projects involving new functionality, integrations, and process automation.</li><li>
Supports the organization&rsquo;s data security, privacy, and compliance initiatives.</li><li>
Implements and maintains security standards, access controls, and audit readiness.</li><li>
Ensures systems adhere to company policies and industry best practices.</li></ul>
Minimum Qualifications<ul><li>
Education or experience typically obtained through completion of a bachelor&rsquo;s degree in computer science, information systems, engineering, or related field.</li><li>
5-8 years of experience supporting enterprise applications, data platforms, or system integrations in a production environment.</li><li>
Strong knowledge of SQL, data integration tools, APIs, scripting languages (Python, PowerShell, Bash), and automation frameworks.</li><li>
Familiarity with cloud-based platforms (AWS, Azure, GCP) and related monitoring tools. Experience with ETL/ELT pipelines, data governance frameworks, and data warehouse technologies preferred.</li><li>
Experiencing managing Tableau and/or Cloudera infrastructure preferred
</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>
Proven ability to manage multiple priorities and deliver solutions in a dynamic environment.</li><li>
Strong analytical mindset with attention to detail and continuous improvement.</li></ul>
Preferred Qualifications<ul><li>
AWS, Cloudera, or Tableau</li></ul>
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor. 
 
The base pay scale for this position in: 
Phoenix, AZ/ Chicago, IL in USD per year is: $94,000 - $118,000. 
San Francisco, CA in USD per year is: $114,000 - $142,000. 
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate&rsquo;s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness<ul><li> 
Healthcare Coverage &ndash; Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.</div>

Sr. Data Platform Support Engineer

OpenAI

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.
 
This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.
 
About the Role
 
We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.
 
The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.
 
You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.
 
Key Responsibilities
 
Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.
 
Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.
 
Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.
 
Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.
 
Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.
 
Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
 
Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.
 
Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
 
Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.s
 
Qualifications
 
10+ years of electrical engineering experience in mission-critical facilities such as data centers or comparable critical infrastructure.
 
Bachelor’s degree in electrical engineering, power systems, or a related discipline.
 
Strong hands-on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
 
Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
 
Experience leading FWTs, FATs, SATs, integrated systems testing, failure-mode testing, and root-cause investigations.
 
Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
 
Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
 
Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non-technical stakeholders.
 
Comfortable operating in fast-moving environments with incomplete information and changing priorities.
 
Preferred Skills
 
15+ years of relevant experience.
 
Advanced degree in electrical engineering, power systems, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with hyperscale data centers, GPU clusters, high-density rack deployments, or liquid-cooled compute environments.
 
Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
 
Experience with modular power systems, rack-level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
 
Experience managing global, multi-site deployment programs or manufacturing quality programs.
 
Familiarity with grid constraints, demand response, renewable integration, or low-carbon infrastructure strategies.
 
Work Environment and Travel
 
This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.
 
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’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.
 
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
 
$257K – $327K + Offers Equity

Data Center Infrastructure Electrical Engineer

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners.
 
About The Role
 
We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations.
 
The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces.
 
Key Responsibilities
 
Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid cooling distribution, air handling, containment, filtration, water treatment, controls, and metering.
 
Review and develop basis-of-design documents, design narratives, P&IDs, mechanical schedules, equipment specifications, thermal capacity models, hydraulic models, CFD analysis, controls sequences, and commissioning requirements.
 
Evaluate mechanical architectures for high-density compute, including direct-to-chip liquid cooling, CDU topology, facility water interfaces, manifolds, quick disconnects, hoses, heat exchangers, pumping strategies, leak detection, serviceability, and failure isolation.
 
Partner with electrical, controls, hardware, networking, construction, and operations teams to ensure cooling systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Develop technical specifications and acceptance criteria for chillers, cooling towers, dry coolers, evaporative coolers, pumps, heat exchangers, CDUs, manifolds, valves, filters, water treatment systems, CRAHs, air handlers, VFDs, controls panels, sensors, and monitoring devices.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and testing laboratories; review submittals, P&IDs, control diagrams, performance curves, test reports, certifications, and quality documentation.
 
Drive factory acceptance testing, site acceptance testing, witness testing, pressure testing, leak testing, thermal performance testing, reliability testing, interoperability testing, and integrated systems testing for critical equipment and high-density rack deployments.
 
Help design and operate a hardware and data center infrastructure R&D laboratory used to validate new cooling equipment, liquid-cooled GPU rack designs, operating envelopes, fault scenarios, telemetry, and facility-hardware interactions.
 
Collaborate with hardware manufacturers to evaluate L10 and L11 test procedures, yield, throughput, reliability, serviceability, and readiness for large-scale deployment.
 
Define telemetry and controls requirements for mechanical and supporting electrical systems, including temperatures, flow rates, differential pressure, pump status, valve position, chiller status, CDU status, coolant quality, leak detection, alarms, control states, and rack-level thermal signals.
 
Analyze lab data, operational incidents, thermal excursions, flow excursions, pressure excursions, leak events, contamination events, nuisance alarms, controls alarms, and rack-level thermal failures to improve designs, procedures, vendor quality, and reliability models.
 
Create clear engineering documentation, standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and executive-ready technical summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, startup, production deployment, vendor testing, and operational events.
 
Mentor partner teams and raise the technical bar for mechanical design, thermal validation, safety, water quality, documentation, reliability, and operational rigor.
 
Required Qualifications
 
Extensive senior-level experience in data center mechanical engineering, mission-critical facilities, high-performance computing infrastructure, thermal systems, or comparable critical infrastructure environments, typically gained through 10+ years of relevant work or equivalent depth of experience.
 
Deep expertise in mechanical design, commissioning, operations, maintenance, reliability, and lifecycle management at large campus or multi-site scale.
 
Hands-on experience with chilled water systems, condenser water systems, process cooling water, cooling towers, dry coolers, evaporative cooling, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, valves, piping, controls, and monitoring systems.
 
Experience designing, testing, certifying, commissioning, or operating equipment used in high-density compute or mission-critical environments, including liquid cooling systems, CDUs, high-flow hydronic systems, heat exchangers, rack manifolds, quick disconnects, and thermal monitoring systems.
 
Experience reviewing and producing technical design packages, equipment specifications, design narratives, sequence-of-operations, CFD or hydraulic studies, test plans, commissioning scripts, operating procedures, and acceptance criteria.
 
Proven ability to evaluate and manage external engineering firms, equipment manufacturers, construction partners, commissioning providers, testing laboratories, and strategic suppliers.
 
Strong understanding of product safety, agency certification, mechanical code compliance, pressure safety, environmental requirements, AHJ coordination, utility requirements, water quality programs, and standards relevant to critical mechanical infrastructure.
 
Experience with factory acceptance testing, site acceptance testing, integrated systems testing, leak testing, pressure testing, thermal performance testing, failure-mode testing, root-cause analysis, and corrective-action management.
 
Ability to use data, models, field observations, and engineering judgment to make decisions under ambiguity and communicate risk clearly to technical and non-technical stakeholders.
 
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related technical field, or equivalent practical experience.
 
Preferred Qualifications
 
Advanced degree in mechanical engineering, thermal sciences, fluid mechanics, systems engineering, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with AI infrastructure, hyperscale data centers, HPC clusters, GPU rack deployments, direct-to-chip liquid cooling, immersion cooling, or high-density rack thermal design.
 
Experience with high-density liquid cooling architectures, CDU qualification, facility water interface specifications, coolant chemistry, leak detection, quick disconnects, rack manifolds, cold plates, and thermal controls for accelerated compute.
 
Experience qualifying new mechanical or thermal products from concept through prototype, certification, manufacturing ramp, field deployment, and lifecycle support.
 
Experience evaluating L10 and L11 manufacturing test validation procedures, yield, throughput, burn-in, reliability screens, and test coverage for liquid-cooled GPU racks or similar complex systems.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, chiller controls, pump controls, CDU controls, data historians, digital twins, CFD model validation, and reliability analytics.
 
Experience managing global, multi-site equipment manufacturing programs or data center programs across matrixed organizations and partner ecosystems.
 
Familiarity with sustainability, energy efficiency, PUE, WUE, CUE, water stewardship, grid constraints, demand response, renewable energy integration, heat reuse, and low-carbon infrastructure design considerations.
 
Work Environment and Travel
 
This role may require periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The engineer should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, water or chemical handling discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, startup, production deployment, vendor testing, leak events, thermal events, water treatment events, or operational incidents.
 
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’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.
 
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
 
$257K – $327K + Offers Equity

Data Center Infrastructure Mechanical Engineer

Elevenlabs

<div><h2 class="jobSectionHeader">About ElevenLabs</h2>
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. 
 
We have expanded from voice into three main platforms:<ul><li>
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.</li><li>
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</li><li>
ElevenAPI gives developers access to our leading AI audio foundational models.</li></ul>
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.<h2 class="jobSectionHeader">
How we work</h2><ul><li>
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</li><li>
Impact not job titles: We don&rsquo;t have job titles. Instead, it&rsquo;s about the impact you have. No task is above or beneath you.</li><li>
AI first: We use AI to move faster with higher-quality results. We do this across the whole company&mdash;from engineering to growth to operations.</li><li>
Excellence everywhere: Everything we do should match the quality of our AI models.</li><li>
Global team: We prioritize your talent, not your location.</li></ul><h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Innovative culture: You&rsquo;ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what&rsquo;s possible.</li><li>
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</li><li>
Learning &amp; development: ElevenLabs proactively supports professional development through an annual discretionary stipend.</li><li>
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</li><li>
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</li><li>
Co-working: If you&rsquo;re not located near one of our main hubs, we offer a monthly co-working stipend.</li></ul><h2 class="jobSectionHeader">
About the role</h2>
As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams.
As a Solutions Engineer, you can expect to:<ul><li>
Collaborate strategically with Account Executives to enhance the technical aspects of the sales process.</li><li>
Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions.</li><li>
Craft compelling technical demonstrations that clearly communicate our product's value proposition.</li><li>
Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.</li><li>
Build self-service tools and documentation that empower customers to implement solutions independently.</li><li>
Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real!</li></ul><h2 class="jobSectionHeader">
Requirements</h2>
We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you:<ul><li>
Are passionate about AI, technology and ElevenLabs products.</li><li>
Enjoy working directly with customers, iterating on solutions and providing tailored support</li><li>
Have a talent for identifying patterns that can be standardized and scaled.</li><li>
Have strong empathy for customers, sales and product teams.</li><li>
Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions</li><li>
Experience working with customers. It&rsquo;s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity</li><li>
Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns.</li><li>
Excellent communication skills with the ability to adapt messaging to different audiences.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. 
#LI-Remote</div>

Enterprise Solutions Engineer - North America

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

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