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data ai specialist

Windfall

<div><div>Windfall is seeking a dedicated and enthusiastic Data &amp; AI Specialist to serve as the first point of contact for our Nonprofit customers who have questions about our solutions. In this role, you&rsquo;ll become an expert in Windfall&rsquo;s solutions and provide guidance and support to a wide array of organizations. We&rsquo;re seeking a resourceful problem-solver who thrives on finding answers, has incredible attention to detail and is motivated by seeing customers succeed.</div><div></div><div> 
Our mission is to change how organizations perceive and use people data. We hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.</div>
<h3 class="jobSectionHeader">Responsibilities:</h3><ul><li>
Contribute to the success of our nonprofit customers by providing impactful support and solutions to ensure they can achieve their fundraising goals using Windfall&rsquo;s solutions</li><li>
Respond to user inquiries promptly through phone, chat, and email</li><li>
Provide proactive guidance and best practices for event planning and fundraising efforts</li><li>
Collaborate with internal teams to report bugs, gather user feedback, and suggest feature improvements</li><li>
Maintain accurate and thorough records of all client interactions in Salesforce</li><li>
Proactively follow up with users to ensure their issues are resolved and their experiences are positive</li><li>
Perform focused research on US households to help validate our model and dataset</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Bachelors degree</li><li>
1-2 years of experience in a customer support role, ideally in the tech or nonprofit sectors</li><li>
Proven ability to adapt to shifting priorities and manage multiple tasks effectively</li><li>
Familiarity with Salesforce or similar CRM platforms</li><li>
Exceptional communication skills, both written and verbal</li><li>
Proven ability to analyze and resolve issues effectively</li><li>
A positive attitude and a genuine desire to help organizations succeed in their missions</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Previous experience working for a high growth startup</li></ul><div>
Additional Information:</div><div>
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.</div><div></div><div> 
California: Base salary range is $55k - $65k + Bonus + Equity</div><div></div><div> 
About Windfall</div><div>
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div><div></div><div> 
We comply with CCPA. For more information on how we comply, review our privacy notice.</div></div>

Data & AI Specialist

<div>Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd 
Posted Date: Mar 2 2026 
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK&rsquo;s unique access to data.
By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK&rsquo;s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.
As a Machine Learning Engineer focusing on applications in oncology, you will be expected to:<ul><li>
Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets.</li><li>
Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). &bull; Connect and collaborate with subject matter experts in biology, genomics, and medicine.</li><li>
Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.</li><li>
Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation.</li><li>
Deploy your algorithms to production to identify actionable insights from large databases.</li></ul><h1 class="jobSectionHeader">
Why you?
</h1>Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:<ul><li>
Master&rsquo;s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field</li><li>
Experience in Python programming and knowledge in machine learning, statistics, and applied math.</li><li>
Familiarity with modern machine learning methods (generative models, representation learning)</li><li>
Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems</li><li>
Experience with at least one Deep Learning framework such as PyTorch</li></ul>
Preferred Qualifications:
If you have the following characteristics, they would be a plus:<ul><li>
PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field.</li><li>
Experience in analyzing real-world and/or clinical data.</li><li>
Experience in incorporating agentic models into ML workflows</li><li>
Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services.</li><li>
Knowledge of cancer biology and precision oncology.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to digest, synthesize, and implement innovative methods from scientific literature.</li><li>
Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.</li><li>
Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day.</li><li>
High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus</li><li>
Publicaiton in natural sciences would be a plus</li></ul>
#LI-GSK
# GSKAIML<ul><li>If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875.
</li></ul> 
The US salary ranges take into account a number of factors including work location within the US market, the candidate&rsquo;s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. 
 
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer

Mochi Health

<div><div>Healthcare is broken at the first step: patients can't find the right care, understand what it costs, or access the medications they need. Mochi Health is fixing this.

We're building an AI-driven marketplace that makes healthcare discoverable&mdash;connecting patients to the right providers, transparent pharmacy pricing, and affordable medications. Over the past few years, we've grown rapidly by combining clinical expertise with technology that actually works for real people, not just hospital systems.

Our platform does what legacy healthcare can't: it gives patients transparent pricing before they pay, personalized medication management that follows them across providers, and long-term access to their own medical records. We're proving that healthcare can be more affordable, more human, and far more intuitive than what exists today.

Join a team that's rebuilding healthcare from the patient up. At Mochi Health, you'll work alongside people who value bold thinking, inclusive collaboration, and getting meaningful work into the world. If you want to do the most impactful work of your career, this is where to do it.</div>
Senior React Native / Expo Engineer

Salary Band: $230,000 - $280,000 (Open to Staff leveling at $280-330K)

Location: San Francisco, CA (5 days/week onsite)

About The Role

At Mochi, our engineering team operates with exceptional leverage. We believe in high talent density, where a focused, elite team powers a profitable, nine-figure ARR healthcare platform serving hundreds of thousands of patients. We are looking for a Senior React Native Engineer to own the mobile applications that serve as the primary daily touchpoint for our patients and providers.

Mochi has already helped patients lose over 5 million pounds through metabolic care, and we are now rapidly expanding into the frontiers of preventative healthcare&mdash;including hormone optimization (HRT/TRT), longevity medicine, and cutting-edge peptide therapies. The mobile experiences you architect will directly dictate how this next wave of patients tracks sensitive biometrics, communicates securely with their care teams, and manages complex medication protocols.

Because of our high scale-to-team ratio, we do not operate in isolated technical silos. You will act as our mobile product specialist, owning the application end-to-end: from architecting offline-first data synchronization and deep native health integrations, to leveraging Expo to deliver a modern, unified cross-platform experience. If you are drawn to mobile product problems where the domain complexity is real, the autonomy is absolute, and the impact on patient outcomes is tangible, this is the role.

What You'll Do
<ul>
<li>Architect the Mobile Clinical Experience: You will build the dynamic, high-performance mobile tools our patients and providers rely on. You will architect deep integrations with Apple HealthKit and Google Health Connect to seamlessly ingest and visualize real-time patient data, and build highly responsive, secure messaging systems that connect patients directly to their care teams without friction.</li>
<li>Leverage the Expo Ecosystem: You will treat our mobile infrastructure as a product advantage. You will leverage the full power of Expo to deliver a flawless, cross-platform experience, utilizing EAS (Expo Application Services) to manage our build pipelines, configure custom native modules via Config Plugins, and push seamless over-the-air (OTA) updates to iterate rapidly and ensure patients always have the latest clinical tools.</li>
<li>Design for the Edge: Mobile healthcare apps must work in the real world&mdash;which means handling spotty cellular connections and offline states gracefully. You will architect robust, offline-first data synchronization strategies and implement aggressive local caching to ensure patients can always access their care plans.</li>
<li>Champion the Mobile UX: You are a mobile product specialist. You don't just implement designs; you obsess over the details that make an app feel premium and native. You sweat the frame rates, the navigation stack transitions, the keyboard avoidance behaviors, and the accessibility standards required to support a diverse patient population.</li>
<li>Build Agentic Workflows: Mochi is an AI-first engineering org. You will not only utilize frontier agentic models to accelerate your own development, but you will also integrate AI capabilities directly into our mobile interfaces to automate clinical operations and streamline patient support.</li>
<li>Raise the Engineering Bar: Own key mobile architectural decisions, establish patterns for strict code reuse between our web and mobile clients, and elevate the engineers around you through rigorous code review and mobile testing practices.</li>
</ul>
Who You Are
<ul>
<li>You have operated high-stakes mobile systems. You have 5-7+ years of frontend engineering experience, with deep, specialized focus on React Native and Expo. You've built, shipped, and maintained complex, data-heavy mobile applications in production.</li>
<li>You are an Expo and Mobile Infrastructure expert. You understand the modern Expo ecosystem deeply. You know how to manage EAS builds, integrate complex native modules (like HealthKit/Health Connect) without ejecting, and navigate the strict review guidelines of the iOS App Store and Google Play Store.</li>
<li>You master mobile state and performance. You understand the React render cycle on mobile. You know how to prevent UI thread blocking, optimize list rendering for massive messaging datasets, and orchestrate complex asynchronous data fetching securely.</li>
<li>You are a full lifecycle owner. You build things that run in production, not just pass review. You view managing the CI/CD pipeline, monitoring crash rates (e.g., Sentry for mobile), and owning your app's reliability in the wild as a fundamental part of your job.</li>
<li>Your workflows are altered by AI. You are already using frontier agentic tools (e.g., Codex 5.3, Claude Opus 4.6) to build faster. You can describe specific ways these models have structurally changed how you code, while retaining the deep technical skepticism required to audit, verify, and own its output.</li>
<li>You are a collaborative builder. You have low ego, high standards, and excellent communication skills. You thrive in cross-functional environments where engineering requirements are heavily shaped by healthcare regulations, compliance, and patient safety.</li>
<li>You are excited to work in-person. You want to build alongside the team 5 days a week in our San Francisco office.</li>
<li>If you are targeting Staff leveling: We expect a demonstrated track record of setting technical direction across teams, navigating deep ambiguity, and measurably leveling up the engineers around you.</li>
<li>Our mobile stack is React Native, Expo, TypeScript, and modern state management tools. Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) is a strong plus for when we need to drop down into native code, but we index on React Native mastery and product sense.</li>
</ul>
Our Process

We respect your time. Here is exactly what to expect:
<ul>
<li>Intro call (30 min, remote) &mdash; Chat with our recruiter about the role and expectations.</li>
<li>Hiring manager screen (45 min, remote) &mdash; Technical background, motivation, and what you're looking for.</li>
<li>Technical round (2.5 hrs, remote) &mdash; Practical coding (AI tools welcome) + system design conversation. Real problems, not LeetCode.</li>
<li>Team meet (2 hrs 15 mins, on-site) &mdash; Come to our SF office to meet your future manager, engineering peers, and product partners for 30-minute 1:1s, concluding with a quick recruiter wrap-up.</li>
</ul>
We are ready to move as fast as you are. Total interview time is ~6 hours. We can go from the first intro to offer in two weeks, or pace the rounds to comfortably fit your current work schedule. 

<h2 class="jobSectionHeader">
Life at Mochi Health</h2>

 Time to Recharge &ndash; Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive

 Wellness First &ndash; From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority

 Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either

 Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration

-

The base salary for this full-time position ranges from $230,000 to $280,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.<div><h3 class="jobSectionHeader"> 
Workplace Policy</h3>

Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve.
<h3 class="jobSectionHeader">
Equal Opportunity</h3>

Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.
<h3 class="jobSectionHeader">
Candidate Privacy Notice</h3>

Please review Mochi Health's Candidate Privacy Notice here.
<h3 class="jobSectionHeader">
Accommodations</h3>

Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.

If you need any assistance or accommodations due to a disability, please contact us at hr@joinmochi.com.</div></div>

Senior React Native / Expo Engineer

Airbyte

<div>Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.
We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We&rsquo;ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.<h2 class="jobSectionHeader">
The Role:</h2>
As a Founding Senior Developer Advocate at Airbyte, you will be the first developer advocate dedicated to our new agentic data infrastructure product. This is equal parts building and storytelling. You'll ship real projects using our product, create technical content that shows AI engineers what's possible, and build relationships across the AI agent ecosystem. If you're the kind of person who gets excited about building cool AI demos on a Friday night and sharing what you learned with the community on Monday morning, this role is for you.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2><ul><li>
Build and ship projects, demos, and sample applications using Airbyte's agentic data infrastructure, showing AI engineers how to give their agents fast, accurate access to business data.</li><li>
Create high-quality technical content including tutorials, blog posts, walkthrough videos, and live coding sessions that make complex concepts accessible and engaging.</li><li>
Partner with AI framework teams (LangChain, Pydantic AI, CrewAI, and others) to build integrations, co-create content, and ensure Airbyte works seamlessly with the leading agent SDKs.</li><li>
Work with influencers and technical creators in the AI engineering community to amplify Airbyte's presence and reach new audiences.</li><li>
Represent Airbyte at meetups, conferences, podcasts, and online communities, sharing what you're building and learning along the way.</li><li>
Engage with the developer community across GitHub, Discord, Twitter/X, and YouTube, answering questions, spotlighting community projects, and gathering feedback.</li><li>
Bring insights from the community back to Product and Engineering to help shape the product roadmap and developer experience.</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Need:</h2><ul><li>
2+ years of experience in developer advocacy, developer relations, or a hands-on engineering role with a strong content creation component.</li><li>
Proficiency in Python and familiarity with the AI/ML ecosystem, including agent frameworks, LLMs, and modern AI tooling.</li><li>
Demonstrated experience creating technical content that developers actually want to read, watch, or build with.</li><li>
A builder mentality. You're not just talking about the product, you're using it, breaking it, and shipping things with it.</li><li>
Strong communication and storytelling skills, with the ability to make technical topics clear and compelling.</li><li>
Comfort working in a fast-paced, early-stage environment where you'll help define the playbook from scratch.</li></ul><h2 class="jobSectionHeader">
Nice To Have:</h2><ul><li>
An existing online presence (blog, YouTube channel, Twitter/X following, newsletter) in the AI or data engineering space.</li><li>
Comfortable and engaging on camera, whether that's YouTube videos, conference talks, or podcast appearances.</li><li>
Experience working with or contributing to AI agent frameworks like LangChain, CrewAI, Pydantic AI, or similar projects.</li><li>
Familiarity with data infrastructure concepts like ELT, CDC, schema management, and real-time sync.</li><li>
Experience building or maintaining open-source projects.</li></ul><h2 class="jobSectionHeader">
Location:</h2><ul><li>
Onsite 5 days/week in San Francisco, CA</li></ul>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $130K - $150K</div>

Senior Developer Advocate

Robert Half

<div>
 We are looking for an experienced Accounts Payable Specialist to join our team in San Francisco, California. In this long-term contract position, you will play a critical role in managing payables, ensuring accuracy in coding and processing, and supporting financial operations in a highly detail-oriented environment. This is a hybrid role, requiring four days onsite and one day remote each week.
 
 
 Responsibilities:
 
 &bull; Process invoices, checks, and wires efficiently and accurately on a weekly basis.
 
 &bull; Manage coding of invoices and transactions, ensuring compliance with government contract requirements.
 
 &bull; Collaborate with project managers to maintain vendor relationships and oversee proper coding practices.
 
 &bull; Handle accruals and assist with monthly credit card reconciliations and expense reports.
 
 &bull; Utilize Concur and other systems to streamline processes, while identifying areas for improvement.
 
 &bull; Conduct precise follow-ups on invoices and coding discrepancies to prevent errors.
 
 &bull; Generate reports and perform data analysis using Excel tools such as pivot tables.
 
 &bull; Support the implementation of new software solutions to optimize accounts payable operations.
 
 &bull; Work closely with the accounting team to meet deadlines and organizational goals.
 
 &bull; Ensure adherence to internal controls and policies to maintain financial accuracy.
 
 &bull; Minimum of 3 years of experience in accounts payable or related financial roles.
 
 &bull; Proficiency in Excel, including pivot tables and data analysis.
 
 &bull; Strong attention to detail and accuracy in coding and processing transactions.
 
 &bull; Familiarity with Concur or similar expense management systems.
 
 &bull; Knowledge of ACH payments and check processing workflows.
 
 &bull; Demonstrated ability to manage vendor relationships and resolve discrepancies.
 
 &bull; Experience working in a detail-oriented environment with government contracts preferred.
 
 &bull; Excellent organizational and communication skills to collaborate effectively with team members.
 
 
 Robert Half is the world&rsquo;s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
 
 
 
 
 Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
 
 
 
 
 Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
 
 
 
 
 &copy; 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking &ldquo;Apply Now,&rdquo; you&rsquo;re agreeing to Robert Half&rsquo;s Terms of Use and Privacy Notice.
 
</div>

Accounts Payable Specialist

Cartesia

<div><h1 class="jobSectionHeader">About Cartesia</h1>
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text&mdash;1B text tokens, 10B audio tokens and 1T video tokens&mdash;let alone do this on-device.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
We're looking for an exceptional Product Manager to join Cartesia and help shape the future of voice AI. In this role, you'll drive product strategy and execution across our platform, working at the intersection of cutting-edge AI technology and real-world customer needs. You'll own the product roadmap for your area, make data-informed decisions, and collaborate closely with engineering, research, design, and go-to-market teams to build products that set the standard for voice AI.
This is a high-impact, high-ownership role at an early-stage company where your work will directly shape Cartesia's trajectory. You'll be embedded in a fast-moving team that cares deeply about quality, craft, and building products developers and enterprises love. 
Your Impact<ul><li>
Define and own the product roadmap for your area, translating company strategy into prioritized initiatives with clear goals and measurable outcomes</li><li>
Partner with engineering and research teams to scope, design, and ship high-quality product experiences&mdash; balancing speed with long-term quality</li><li>
Develop a deep understanding of Cartesia's customers, their workflows, and their pain points through direct engagement, qualitative research, and quantitative analysis</li><li>
Drive cross-functional alignment across research, data, engineering, design, and GTM teams to prioritize and execute on the highest-impact opportunities</li><li>
Define success metrics for your product area and establish a culture of measurement, using data to inform decisions and evaluate impact</li><li>
Conduct competitive analysis to identify gaps, opportunities, and differentiation strategies that position Cartesia as the leading voice AI platform</li><li>
Communicate clearly and persuasively with both technical and non-technical stakeholders, from individual engineers to executive leadership</li><li>
Build frameworks and documentation that help internal teams and customers understand product capabilities, limitations, and best practices</li></ul>
What You Bring<ul><li>
6+ years of product management experience with technical products, preferably in AI/ML, developer tools, or infrastructure</li><li>
Proven ability to define product strategy, make difficult prioritization decisions, and drive execution in a fast-paced environment</li><li>
Strong analytical mindset with experience defining success metrics, designing experiments, and making data-driven decisions</li><li>
Deep customer empathy with a track record of conducting user research, synthesizing qualitative feedback, and translating insights into impactful product requirements</li><li>
Technical fluency to collaborate effectively with ML researchers, data scientists, and engineers&mdash; able to engage deeply on implementation tradeoffs</li><li>
Excellent cross-functional collaboration and communication skills; able to build trust and influence without direct authority</li><li>
Comfort operating in ambiguity and a strong bias toward action and iterative learning</li></ul>
Nice to Have<ul><li>
Direct experience with voice AI, speech technologies (TTS, STT), or conversational AI products</li><li>
Background in developer tools, API products, or infrastructure&mdash;especially with usage-based or self-serve growth models</li><li>
Experience building from 0 1 at an early-stage startup, or founder experience</li><li>
Familiarity with ML model evaluation, A/B testing methodologies, or data pipeline design</li><li>
SQL proficiency or experience with analytics tools such as Amplitude, Mixpanel, or Looker</li></ul> 
What We Offer
Lunch, dinner and snacks at the office
Fully covered medical, dental, and vision insurance for employees
401(k)
Relocation and immigration support
Your own personal Yoshi<h2 class="jobSectionHeader">
Our Culture</h2>
We&rsquo;re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
We support each other. We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.
Compensation Range: $200K - $270K</div>

Product Manager

Mento

<div><h3 class="jobSectionHeader">About Mento</h3>

Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.
<h3 class="jobSectionHeader">
About The Role</h3>

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product development&mdash;understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>

Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards.

Build data systems that power product features. You'll create data pipelines that feed back into the product&mdash;user progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it.

Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data stack&mdash;choosing and implementing tools for orchestration, transformation, warehousing, and analytics. You'll build foundations that can scale with the company.

Process and analyze AI/LLM outputs. You'll work with data from our AI coaching systems, building pipelines to analyze LLM responses, track coaching quality, and generate insights about how users interact with AI coaches.

Support business operations and analytics. You'll build data systems that track customer success metrics, billing data, user engagement, and operational KPIs. Your work will directly inform business decisions and product strategy.

Create accessible analytics infrastructure. You'll build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools. You'll think about data quality, documentation, and usability.

Work closely with product on instrumentation and data collection. You'll collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data. You'll be involved in product discussions and understand feature requirements from a data perspective.
<h3 class="jobSectionHeader">
Who We're Looking For</h3>

We're looking for a data engineer with mid to senior-level experience who can work independently, make architectural decisions, and build data systems from the ground up. 

You have strong data engineering fundamentals. You're experienced with SQL, Python, and building data pipelines. You understand data modeling, ETL/ELT patterns, and how to design scalable data architectures. You've worked with databases like PostgreSQL and have opinions on data infrastructure tools.

Bonus: You're comfortable with Go. Our backend stack is Ruby and Go, with new development preferentially in Go. While we are happy to use Python as the primary language for data work, comfort with Go is a plus for building production data services and working closely with the backend team.

You can drive technical decisions about data infrastructure. You've evaluated and implemented data tools before&mdash;whether orchestration frameworks, warehouses, transformation tools, or BI platforms. You can assess our needs and recommend the right stack for an early-stage company.

You're comfortable working with diverse data sources. You'll work with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs. You can navigate different data formats and build reliable integrations.

You're comfortable working closely with product teams. You've worked embedded with product and engineering, participated in product discussions, and built data systems that directly power product features. You understand the difference between building for analysis versus building for production product use.

You can build both analytical and operational data pipelines. You've built pipelines for analytics and business intelligence, but you've also built systems that feed data back into products in real-time or near-real-time. You understand the different requirements and tradeoffs.

You have some experience with AI/ML data. You've worked with LLM outputs, unstructured data, or analytics for AI-powered products. You understand the unique challenges of working with AI-generated content and can design appropriate data models.

You work well independently in an early-stage environment. You're comfortable with ambiguity and can prioritize work without extensive direction. You can balance building for immediate needs while creating foundations for future scale.
<h3 class="jobSectionHeader">
Why Work with Us?</h3>

We are a company dedicated to empowering professionals to live meaningful careers. That starts with our culture at Mento.

You're excited about building data infrastructure that serves multiple purposes&mdash;analytics, business intelligence, and powering product features. You want to work closely with product teams and see your data systems directly impact user experience.

We work hard to foster a workplace built around trust, respect, and collaboration. As a remote-first company, we believe in flexibility and autonomy&mdash;as long as you're delivering great work and staying connected with your teammates, you can work from anywhere.

This is an opportunity to join an early-stage, mission-driven team as the founding data engineer. You'll have significant ownership over our data architecture and direct impact on both product and business strategy.

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. If you're passionate about building data systems that help people thrive at work, we want to hear from you. 


Other benefits and perks include:

✈️ Fully Remote - ability to work from anywhere with bi-annual team offsites

 Competitive salary and equity

 Medical, dental, vision, and a 401k plan

 Unlimited vacation (We actually mean this! it's important to keep yourself fresh)

 $500 home office stipend

 Access to your own Mento Coach</div>

Data Engineer

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