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Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>San Francisco CA
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation. 
 
Key Responsibilities 
 
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
 
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
 
Build and support AI agents, autonomous systems, and agentic workflows.
 
Deploy, monitor, and optimize AI models in production using MLOps practices.
 
Design and maintain data pipelines, data lakes, and data warehouses.
 
Monitor model performance, troubleshoot issues, and manage data/model drift.
 
Collaborate with business and technical teams to align AI solutions with organizational objectives.
 
Create reusable assets, demos, and proof-of-concepts to support innovation and business development. 
 
 
</div></div><div><div><h2 class="jobSectionHeader">Required Skills and Experience
</h2></div><div>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
 
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
 
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
 
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
GPT, Claude LLM, Stable Diffusion
 
LangChain
 
TensorFlow
 
PyTorch
 
Scikit-learn
 
RAG (Retrieval-Augmented Generation)
 
AI Agents &amp; Agentic Workflows
 
API Development
 
REST APIs
 
JSON
 
HTTP Requests
 
Authentication &amp; Tokens
 
Error Handling &amp; Debugging 
 
 
 
 
</div></div></div>The base compensation range for this role in the posted location is $90,000- $160,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Data Scientist/ AI Engineer

Salesforce

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Employee Success
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 
 The Experience
 
 
 
 We are seeking Contract Talent Attraction Partners (TAP) to join the Futureforce AMER team to support AI Research and AI Builders, Emerging Talent recruitment.
 
 
 Partnering with the Futureforce Talent Delivery team, you will own the candidate journey from initial engagement to pipeline delivery, attracting and assessing a diverse talent pool across various channels while ensuring a seamless experience for all stakeholders.
 
 
 
 What You'll Actually Be Doing
 
 
 
 <ul>
 <li>
 Attract and engage candidates across all channels &mdash; including inbound applicants, referrals, outbound sourced candidates, and candidates from campus events and partnerships
 </li>
 <li>
 Plan, coordinate, and execute in-person and virtual recruiting events, including content development, logistics, and stakeholder engagement
 </li>
 <li>
 Conduct in-depth candidate assessments from all sources, driving an exceptional candidate experience and delivering qualified talent to Recruiting partners
 </li>
 <li>
 Cultivate relationships with candidates for immediate and future opportunities and maintain accurate talent pool records in the CRM to support effective pipeline nurturing
 
 
 </li>
 </ul>
 
 You're Our Person If...
 
 
 
 <ul>
 <li>
 Experience in recruiting, sourcing, or recruiting support, with prior exposure to university or early talent hiring
 </li>
 <li>
 Demonstrated ability to manage multiple priorities and deliver against goals in a fast-paced, matrixed environment
 </li>
 <li>
 Strong interpersonal and communication skills with experience partnering and influencing stakeholders across teams and functions
 </li>
 <li>
 Champion Salesforce's evolution as an agentic enterprise by applying AI familiarity and data-driven insights to optimize workflows within Workday, Slack, and Google Suite, driving continuous process improvements and high-priority team projects.
 
 
 </li>
 </ul>
 
 Even Better If...
 
 
 
 <ul>
 <li>
 Familiarity with sourcing techniques, tools, and candidate relationship management platforms
 </li>
 <li>
 Experience working across global or cross-regional recruiting teams
 </li>
 <li>
 Background conducting competency-based candidate assessments
 </li>
 <li>
 Experience focused on AI and research PhD hiring efforts
 </li>
 <li>
 Bilingual - fluent in Spanish and English
 
 
 </li>
 </ul>
 ** This is a 6 month contract role. It will be in a hub office where you are expected to be in office at least 3 days/week. This position is ineligible for visa sponsorship. **
 
 
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
 
 
 Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
 
 
 In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $75,000 - $113,500 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $90,200 - $124,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Talent Attraction Partner, Futureforce AMER (Contract)

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - San Francisco, CA, USA

OpenAI

<div>
 
 About The Team
 
 
 
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 
 
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Backend Software Engineer
 
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design eval pipelines that are reliable, reproducible, and extendable
 </li>
 <li>
 Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
 </li>
 <li>
 Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
 </li>
 <li>
 Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
 </li>
 <li>
 Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
 </li>
 <li>
 Own the full development lifecycle of new backend systems and internal platform capabilities
 </li>
 <li>
 Build with scale and maintainability in mind, while rapidly iterating on new ideas
 
 
 </li>
 </ul>
 
 You Might Be a Great Fit If You Have
 
 
 
 <ul>
 <li>
 4+ years of backend engineering experience at product-driven companies (excluding internships)
 </li>
 <li>
 Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
 </li>
 <li>
 Experience designing and scaling distributed systems, APIs, or data processing pipelines
 </li>
 <li>
 Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
 </li>
 <li>
 Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
 </li>
 <li>
 Experience creating production evals and/or measuring performance of ML/LLM models at scale
 </li>
 <li>
 A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
 
 
 </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: $230K - $385K
 
 
</div>

Backend Software Engineer (Evals)

Apollo.io

<div><div>Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.</div><h2 class="jobSectionHeader">
About the Role</h2>

We are looking for an exceptional Executive Assistant to partner directly with our Chief Product Officer (CPO) and help maximize the effectiveness, focus, and impact of the R&amp;D organization spanning Engineering, Product, Design, and Research.

This role is far more than calendar management. The Executive Assistant will be a reliable, proactive operator who brings structure and precision to a fast-moving executive environment. You will help the CPO stay organized and effective across product strategy reviews, roadmap planning, cross-functional leadership syncs, and the day-to-day rhythm of leading a high-velocity R&amp;D organization. You will partner closely with Product, Design, Research, and Engineering leaders to keep the CPO's time, attention, and follow-through aligned with the organization's highest priorities.

The ideal candidate is a career Executive Assistant who is proactive, highly organized, low-ego, deeply trustworthy, and energized by operating at the center of a fast-moving executive environment. You are comfortable managing complex logistics, coordinating cross-functional meetings with Product, Design, Research, and Engineering leadership, and supporting the operating cadence of a growing R&amp;D org. This role is based in San Francisco.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<h3 class="jobSectionHeader">CPO Support &amp; Operations (Primary)</h3>

Serve as the primary support partner to the CPO, enabling effective execution across scheduling, R&amp;D operations, and cross-functional collaboration.
<ul>
<li>Own and proactively manage the CPO's calendar across daily, weekly, monthly, and quarterly horizons, ensuring time is allocated to the highest-priority activities.</li>
<li>Manage complex domestic and (as needed) international travel for the CPO, including itineraries, accommodations, briefs, and contingency planning.</li>
<li>Handle CPO expense reporting, approvals, and administrative workflows.</li>
<li>Handle select personal and confidential requests for the CPO with discretion.</li>
<li>Identify opportunities for the CPO to delegate work across Product, Design, Research, and Engineering leadership.</li>
<li>Provide ad hoc operational assistance to the Product, Design, and Research teams as needed.</li>
</ul><h3 class="jobSectionHeader">Cross-Functional R&amp;D Leadership Support</h3>

Provide focused coordination across the R&amp;D leadership team, helping the CPO's direct reports and cross-functional partners (Engineering, Product, Design, Research) stay aligned on priorities and commitments.
<ul>
<li>Monitor and maintain visibility into the calendars of key R&amp;D leaders, identifying scheduling conflicts and protecting focus time where needed.</li>
<li>Watch the CPO's inbox so messages from important stakeholders (executives, key partners, board members) are surfaced promptly and not lost in volume.</li>
<li>Triage, prioritize, and flag time-sensitive or high-importance communications, providing draft responses or summaries as needed.</li>
<li>Partner closely with Engineering, Product, Design, and Research leadership on priorities, communications, and meeting cadence.</li>
<li>Ensure the CPO is consistently aware of upcoming commitments and arrives prepared for product reviews, leadership syncs, and cross-functional meetings.</li>
<li>Handle select administrative requests and confidential matters with discretion.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Leadership Meeting Coordination</h3>

Coordinate logistics for the CPO's leadership, board-related, and strategic external meetings.
<ul>
<li>Own scheduling and logistics for product strategy reviews, roadmap planning sessions, leadership offsites, and CPO-led external meetings with partners and candidates.</li>
<li>Support preparation of board and leadership materials related to product strategy &mdash; deck coordination, pre-read circulation, and day-of execution &mdash; in partnership with the CEO's and CFO's teams as needed.</li>
<li>Manage CPO-related distribution lists, calendar holds, and communication processes tied to leadership and cross-functional engagements.</li>
<li>Track follow-ups and action items from product reviews, leadership meetings, and strategic discussions, maintaining records for key stakeholders engaging with the CPO.</li>
<li>Ensure CPO board and leadership prep cycles are planned well in advance with clear ownership and deadlines.</li>
</ul><h3 class="jobSectionHeader">R&amp;D Team &amp; Project Coordination</h3>

Help the CPO's organization run with rigor by supporting the operating cadence of Product, Design, Research, and Engineering.
<ul>
<li>Gather, organize, and coordinate materials for recurring product and roadmap reviews, working with Product, Design, Research, and Engineering to ensure deadlines are met and materials are complete.</li>
<li>Organize and support recurring R&amp;D leadership meetings, monthly and quarterly business reviews, and key planning sessions.</li>
<li>Track action items, deliverables, and deadlines across the R&amp;D organization, proactively following up to ensure commitments are met.</li>
<li>Assist with creating, editing, and formatting executive presentations, roadmap documents, and org communications.</li>
<li>Partner with Product, Design, Research, and Engineering leadership to ensure the CPO has clear visibility into priorities, OKRs, and follow-through.</li>
</ul><h3 class="jobSectionHeader">Core Team Support &amp; Accountability</h3>

Help maintain the systems that keep the Core Team aligned, accountable, and focused, particularly where the CPO's commitments intersect with the executive team.
<ul>
<li>Support Core Team and Executive Staff operating cadences, including meetings, prep, follow-ups, and action tracking.</li>
<li>Partner with cross-functional stakeholders to create visibility into Core Team OKRs and commitments.</li>
<li>Help identify gaps in communication, ownership, and execution across the leadership team.</li>
<li>Support executive accountability by ensuring decisions, actions, and next steps are documented and followed through.</li>
</ul><h3 class="jobSectionHeader">CPO Offsites &amp; Team Events</h3>

Plan, organize, and execute CPO-led offsites and R&amp;D team events.
<ul>
<li>Plan, organize, and execute CPO offsites, R&amp;D leadership meetings, and team connection events.</li>
<li>Coordinate logistics, agendas, content, communications, surveys, and post-event follow-ups.</li>
<li>Partner with People, Workplace, and Internal Comms on event quality and team connection.</li>
<li>Help build a year-long view of CPO-org and R&amp;D team events.</li>
<li>Support contractor and vendor management for CPO offsites and events as needed.</li>
</ul><h2 class="jobSectionHeader">What Success Looks Like</h2>

In this role, success means:
<ul>
<li>The CPO's calendar is organized, protected, and optimized, with product reviews and cross-functional meetings coordinated seamlessly and well in advance.</li>
<li>Roadmap and product strategy reviews run smoothly because materials are gathered, consolidated, and distributed on time.</li>
<li>The CPO, Product, Design, Research, and Engineering teams feel well-supported with responsive, reliable operational assistance.</li>
<li>Internal and external partners experience Apollo's R&amp;D leadership as organized, professional, and easy to work with.</li>
<li>The CPO's inbox and calendar are monitored consistently, with high-priority items flagged and nothing important missed.</li>
<li>CPO leadership commitments and prep cycles are scheduled and managed well in advance.</li>
<li>CPO-led offsites and R&amp;D team events are polished, connected, and impactful.</li>
<li>The CPO trusts this person implicitly with sensitive information, confidential communications, and high-stakes logistics.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>7+ years of executive support experience as a career Executive Assistant, ideally supporting a CPO, VP of Product, or C-level/senior leader overseeing a Product, Design, or R&amp;D organization at a high-growth technology company.</li>
<li>Based in San Francisco, with the ability to work in-office/hybrid to support the CPO's day-to-day rhythm.</li>
<li>Experience managing complex cross-functional calendars, including scheduling meetings with Product, Product Design, Research, Engineering, and executive leadership.</li>
<li>Communication: Outstanding written and verbal communication skills; ability to draft polished, professional correspondence on behalf of the CPO.</li>
<li>Discretion: Proven ability to manage highly confidential and sensitive strategic, product, and personnel information with absolute discretion.</li>
<li>Exceptional calendar, inbox, travel, and logistics management skills.</li>
<li>Ability to anticipate needs, identify risks, and solve problems before they escalate.</li>
<li>Comfort operating in ambiguity and creating structure from scratch.</li>
<li>Strong cross-functional stakeholder management skills, comfortable working across Product, Product Design, Research, Engineering, and Executive teams.</li>
<li>High ownership mindset with the ability to manage multiple workstreams and shifting priorities simultaneously.</li>
<li>Deep attention to detail and a strong bias toward follow-through.</li>
<li>Low ego, high EQ, and strong service orientation.</li>
<li>Experience with tools such as Google Workspace, Slack, expense systems, and project management tools preferred.</li>
<li>Familiarity with product development processes, roadmap planning, or experience in a Product, Product Design, or Research organization is a plus.</li>
</ul><h2 class="jobSectionHeader">Ideal Candidate Profile</h2>

You may be a strong fit if you are:
<ul>
<li>A career Executive Assistant and true partner to executives, not just a task manager.</li>
<li>Known for being five steps ahead.</li>
<li>Comfortable owning the details so busy leaders don't have to.</li>
<li>Trusted with confidential, strategic, and product-sensitive information.</li>
<li>Excellent at making busy leaders more effective through precision and care.</li>
<li>Energized by building systems and creating consistency, not just executing individual tasks.</li>
<li>Experienced supporting an R&amp;D, Product, or Engineering organization.</li>
<li>Based in San Francisco and comfortable with an in-office/hybrid working rhythm.</li>
<li>Naturally calm, organized, and reliable in a fast-paced, high-stakes environment.</li></ul><div><h3 class="jobSectionHeader"> 
We are AI Native</h3>

Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers&mdash;and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
<h3 class="jobSectionHeader">
Why You'll Love Working at Apollo</h3>

At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core&mdash;we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you're looking for a place where your work matters, where you can push boundaries, and where your career can thrive&mdash;Apollo is the place for you.

Learn more here!</div></div>

Executive Assistant, CPO

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 Mid-Market Lead, you will be the strategic driver behind scaling and optimizing our Mid-Market AE organization. You&rsquo;ll own revenue outcomes and team performance across our Mid-Market segment, with a strong focus on building repeatable, high-velocity sales motions. This role blends hands-on leadership with strategic execution in a fast-growing environment.
In this role, you will:<ul><li>
Define and execute the go-to-market strategy for U.S. Mid-Market accounts, including quotas, segmentation, and territory design.</li><li>
Lead, coach, and scale a team of Mid-Market AEs, owning recruiting, onboarding, enablement, and performance management.</li><li>
Own pipeline health and forecasting, driving consistency and improving conversion rates across each stage of the funnel.</li><li>
Develop and refine sales playbooks, motions, objection frameworks, and deal models tailored to Mid-Market buyers and voice AI / conversational use cases.</li><li>
Partner cross-functionally with Marketing, Product, Growth, and Customer Success to align positioning, messaging, and expansion opportunities.</li><li>
Establish feedback loops by synthesizing insights from prospects and customers to help inform GTM strategy and product roadmap decisions.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
7+ years of SaaS or technology sales experience, with meaningful experience leading or scaling Mid-Market AE teams.</li><li>
Demonstrated success surpassing revenue targets in a Mid-Market or velocity-oriented sales environment.</li><li>
Strong command of sales metrics, funnel optimization, forecasting, and process rigor.</li><li>
Experience selling technical, AI, or API-driven solutions to Director- and VP-level stakeholders.</li><li>
Excellent communication skills and ability to influence across teams and seniority levels.</li><li>
Comfortable operating in fast-paced, ambiguous, high-growth environments with high ownership.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This role is remote across the US, with the option to work from our San Francisco or New York offices if preferred.
#LI-remote</div>

Account Executive Lead - North America - Mid-Market

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