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corporate finance analyst

InfoTrack US

<div>About InfoTrack<p>
InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system.</p><p>
As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us.</p>
About the role<p>
</p><p>We are seeking a FP&amp;A Senior Analyst, Platform North America, to support financial planning and strategic analysis efforts. As FP&amp;A Senior Analyst, Platform North America, you will support in-country FP&amp;A initiatives. The ideal candidate will possess strong technical grasp of financial/accounting concepts, along with a strong understanding of financial modeling, forecasting, and business analytics. As a self-starter, you will be hands-on, capable of delivering within a high-performing, global team. In this hybrid role, you will report to the Head of FP&amp;A, ATI Global and have a dotted line to local Controllers in the United States and Canada.</p><p><b>
This is a hybrid role based out of our office in San Francisco.</b></p><br>
Responsibilities<ul><li><b>
Reporting &amp; Planning</b></li><li><ul><li>
Execute budgeting and forecasting processes, including model updates, assumption validation, and consolidation across entities.</li><li>
Perform detailed variance analysis against budget, forecast, and prior periods, identifying key performance drivers and trends.</li><li>
Analyze key financial and operational KPIs, providing structured insights (MoM, YTD, trend analysis).</li><li>
Collaborate with cross-functional finance and non-finance stakeholders to build, validate, and maintain financial and operational data.</li><li>
Act as a finance contact for operational teams, bridging financial analysis and business performance.</li><li>
Partner with local Controllers and support Global Head of FP&amp;A with group-level planning, reporting, and performance review across business units.</li><li>
Develop and refine financial models to improve accuracy, transparency, and alignment with business drivers.</li><li>
Dive deeply into financial and non-financial data to become a subject matter expert and provide actionable insights.</li><li>
Support future initiatives such as new planning system implementation, ad-hoc projects including M&amp;A or IPO readiness.</li></ul></li><li><b>
General &amp; Business Partnering
</b></li><li><ul><li>Partner with cross-functional teams to ensure alignment of financial plans with strategic objectives.</li><li>
Support continuous improvement of FP&amp;A processes and tools to increase efficiency, accuracy, and timeliness of financial planning and reporting.</li><li>
Promote a teamwork mentality and proactive problem-solving across the finance function.</li></ul></li></ul><p></p><b><br>
Requirements</b><p><br>
</p><p><b>Education and Experience:</b></p><ul><li><ul><li>
Bachelor&rsquo;s degree in accounting, finance or related field</li><li>
CPA qualified</li><li>
3+ years&rsquo; post qualification experience in financial planning and analysis, corporate finance (inhouse or advisory) or similar fields</li><li>
Experience in Technology and/or legal services industry is preferred but not essential</li></ul></li></ul><p>
</p><p></p><ul><li><b>Knowledge and Skills</b></li><li><ul><li>
Strong financial modelling skills (budgeting, forecasting, scenario analysis)</li><li>
Combining superior attention to detail with ability to present financial information clearly and concisely to senior management and key stakeholders to support business decisions</li><li>
Solid understanding of financial reporting and its linkage to FP&amp;A</li><li>
Experience working in cross-functional and fast-paced environments</li><li>
Strong interpersonal skills for collaborating with different departments and levels within the global organization</li><li>
Experience with Workday Adaptive Planning/Reporting and NetSuite</li><li>
Advanced Excel skills with the ability to build financial models to support decision-making</li><li>
Excellent team player skills</li></ul></li></ul><p></p><p><b>
Compensation</b></p><p>
The anticipated starting base pay range for this role is listed below. Base salary is not the only component of our competitive total rewards package - you may also be eligible for bonus, commissions, equity, and other benefits as described below. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications.</p><p><b>
Base Pay</b></p><p>
$86,200 to $145,395 USD<br>
</p><br>
<br>
<b>Benefits</b><p><b><br>
What Sets InfoTrack apart</b></p><p>
At InfoTrack, we&rsquo;re committed to a workplace where everyone feels comfortable doing their best work and having fun! We also believe in a work/life balance that fulfills you while you&rsquo;re here and supports you when you&rsquo;re not. We built our benefits package to prove that we&rsquo;re committed to you having everything you need.</p><p>
Here is what we offer full-time employees:</p><ul><li>
401(k) Match
</li><li>Medical, Dental, &amp; Vision Insurance- 85% of employee premiums are covered by InfoTrack, and 70% for your family premiums</li><li>
Employer-funded Short/Long-Term Disability, Life, and Accidental Death &amp; Dismemberment (AD&amp;D) Insurance
</li><li>20 Days of Paid Time Off (PTO)
</li><li>11 Paid Holidays</li><li>
&ldquo;Be Me Time&rdquo; off for mental health, re-charging, volunteering</li><li>
Matching Gift Program</li><li>
Monthly Internet Stipend for Remote Employees
</li></ul><p><b>Our Commitment</b></p><p>
We believe that the key to our success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold.</p><p>
InfoTrack is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs.</p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p></div><p></p>

FP&A Senior Analyst, Platform North America

Uber

<div><b>About the Role</b>
<br>
<br>
Compensation is one of Uber's largest expense pools. As a Senior Associate on the Corporate Finance team, you will own the planning, forecasting, and analysis for total compensation across Uber's global employee workforce. Sitting between Finance and the People organization, you will partner with Compensation, Equity, Benefits, and People teams to pressure-test the assumptions behind our compensation cost base, and translate them into the consolidated forecast leadership uses to manage the P&amp;L, margin, and profitability commitments.
<br>
<br>
<b>What the candidate will do
</b><ul><li><b>Own the compensation and SBC forecast</b> - Build and maintain the consolidated forecast for compensation and benefits across annual, quarterly, and monthly cycles, translating headcount plans into fully loaded cost by function and geography. Maintain the SBC amortization model and support the GAAP-to-Adjusted-EBITDA bridge and guidance inputs. Partner with Accounting on close, accruals, and variance analysis.
</li><li><b>Own share count and dilution analysis</b> - Maintain the diluted share count forecast and quantify the dilutive impact of compensation decision. Model repurchase and net dilution effects, support the diluted EPS and free cash flow bridges, and build scenarios on burn rate and overhang with Accounting, Treasury, and IR.
</li><li><b>Partner with the People organization</b> - Serve as the Finance counterpart to Compensation, Equity, Benefits, and People Analytics, bringing a P&amp;L lens before decisions are finalized. Price the annual compensation cycle - merit, promotion, and refresh pools, market adjustments - and evaluate benefits, location, and banding changes. Establish a reconciled view of headcount and comp data across People and Finance systems.
</li><li><b>Support leadership and improve the process</b> - Feed assumptions into the consolidated forecast, long-range plan, and profitability targets, and build scenario analyses on trade-offs across headcount, comp mix, and cash vs. equity. Prepare decision-ready materials for executive reviews, track deliverables, and drive automation and documentation of core processes.
</li></ul><b>Basic Qualifications</b>
<ul><li>BS/BA in Finance, Accounting, Economics, or other relevant subject
</li><li>4+ years of proven experience
</li><li>Advanced experience with Excel/Google Sheets, including driver-based financial modeling
</li><li>Prior financial and/or analytical experience, including FP&amp;A, investment banking, management consulting, private equity, or operations
</li><li>Self-starter with attention to detail and swift, high-quality execution
</li></ul><b>Preferred Qualifications</b>
<ul><li>Strong analytical and communication skills, moving between model mechanics and the executive-level &quot;so what&quot;
</li><li>Working knowledge of SBC and dilution mechanics - ASC 718, vesting and amortization, ESPP, treasury stock method, overhang, and burn rate
</li><li>Familiarity with compensation program design: merit, promotion and refresh budgets, banding, geo differentials, and benchmarking
</li><li>Understanding of enterprise planning systems (e.g., IBM Cognos TM1, Oracle); Workday or equity administration platforms a plus
</li><li>Experience with large datasets and BI/query tools (SQL, Tableau); interest in AI and automation to reduce manual effort
</li>Public company experience a plus<br>
<li>
</li></ul><br>
<br>
For New York City, NY-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.<br>
<br>
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.<br>
<br>
<b>Ready to Ride?</b><br>
<br>
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.<br>
<br>
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
<br>
<br>
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.<br>
<br>
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Strategic Finance, Sr Associate - US&C Mobility

Pinterest

<div><div><p><b>About Pinterest:</b></p>
<p>
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.</p>
<p>
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.</p>
<p>
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p></div><p>
Pinterest is seeking an experienced Staff Data Scientist to join our Finance &amp; Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption &mdash; and the person in it is expected to operate across all three.</p>
<p>
The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.</p>
<p>
This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach.</p><br>
<p></p>
<p><b>
What you'll do:</b></p>
<ul>
<li><b>Own forecasting tooling end to end.</b> Build and maintain the team's primary forecasting workbench &mdash; from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).</li>
<li><b>Ship product, not just analysis.</b> Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.</li>
<li><b>Drive AI adoption across Finance &amp; BizOps.</b> Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material &mdash; walkthroughs, documentation, &quot;where to get started&quot; guidance &mdash; that gets non-technical teams productive.</li>
<li><b>Stay ahead of the AI capability curve.</b> A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6&ndash;12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org &mdash; so the team builds for where AI is going, not just where it is today.</li>
<li><b>Set AI strategy and guide executives.</b> Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.</li>
<li><b>Deliver recurring finance analytics.</b> Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.</li>
<li><b>Partner broadly and communicate clearly.</b> Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.</li>
<li><b>Set technical and analytical standards.</b> raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.</li></ul><p><br>
<br>
<b>What we're looking for:</b></p>
<ul>
<li><b>Data science &amp; forecasting</b></li>
<li>Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).</li>
<li>Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.</li>
<li>Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.</li>
<li><b>Engineering &amp; tool-building</b></li>
<li>Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses &mdash; meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).</li>
<li>Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).</li>
<li>Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).</li>
<li><b>Applied AI</b></li>
<li>Hands-on experience applying modern AI/LLM tooling to real workflows &mdash; prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms &mdash; and a track record of moving from experiment to adopted tool.</li>
<li>Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).</li>
<li><b>AI foresight &amp; strategy (critical)</b></li>
<li>Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6&ndash;12 months out.</li>
<li>Able to interpret an engineering roadmap and reconcile it with where the technology is heading &mdash; translating both into a concrete capability plan for the business.</li>
<li>Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.</li>
<li><b>Executive influence</b></li>
<li>Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.</li>
<li>Comfortable being the trusted technical voice in the room &mdash; framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.</li>
<li><b>Scope, ownership &amp; communication</b></li>
<li>Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.</li>
<li>Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.</li>
<li>Strong cross-functional collaboration across finance, operations, and technical/platform partners.</li>
<li><b>Experience</b></li>
<li>Minimum of 8 years of relevant experience in data science, analytics engineering, or applied ML.</li>
<li>Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.</li></ul><br>
<p></p>
<p><b>
Relocation Statement:</b></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul><br>
<p></p>
<p><b>
In-Office Requirement Statement:</b></p>
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country.</li><br>
</ul>
<p>#LI-NM4</p>
<p>
#LI-REMOTE</p><div><p><b>
Our Commitment to Inclusion:</b></p>
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div><i>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</i></div></div></div>

Staff Data Scientist, Finance & Business Ops

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $120,000&ndash;$300,000 + Competitive Equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.</p><p>
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.</p><p><b>
What you'll be doing</b></p><ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul><p><b>
Tech stack:</b> Python, AWS; browser automation, computer vision, LLM systems.</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $120,000&ndash;$300,000 + equity</li><li><b>
Visa sponsorship:</b> H-1B, O-1, OPT</li><li><b>
Experience:</b> 1+ years</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Member of Technical Staff

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $180,000&ndash;$220,000 + competitive equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.</p><p><b>
What you'll be doing</b></p><ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul><p><b>
Tech stack:</b> Not specified</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $180,000&ndash;$220,000 + equity</li><li><b>
Visa sponsorship:</b> O-1, OPT</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Software Engineer, RL Environments

University of California - San Francisco

<div><p>Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
</p><p>The Oracle Cloud AI Architect is responsible for designing, implementing AI-enabled solutions, analytics, automation, and enterprise applications across Oracle Cloud Human Capital Management (HCM), Supply Chain Management (SCM), Financials (FIN), Procurement, and related systems. This role partners with business stakeholders, operational leaders, and technical teams to design and optimize scalable solutions that improve business operations, decision-making, and user experience across the enterprise.
</p><p>The incumbent applies advanced knowledge of Oracle Cloud architecture, enterprise business processes, data management, and AI-enabled technologies to support intelligent automation, predictive analytics, reporting, workflow optimization, and enterprise data initiatives. Responsibilities include leveraging Oracle Cloud technologies such as OTBI, BI Publisher, Smart View, Fusion Data Intelligence (FDI), Fusion Analytics Warehouse (FAW), Oracle AI services, and related analytics platforms to develop integrated and secure enterprise solutions aligned with organizational goals.
</p><p>This role collaborates closely with Business Systems Analysts, ERP functional teams, developers, integration teams, and leadership to support system enhancements, enterprise integrations, data governance, testing, upgrades, and continuous improvement initiatives. The position also evaluates emerging Oracle Cloud and AI capabilities, promotes self-service analytics and automation, and supports operational excellence through scalable, compliant, and data-driven enterprise solutions.
</p><p>This position includes regular onsite work, typically 1&ndash;3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands<br>
</p><p></p><p><b>Department Overview
</b></p><p>The Business Informatics &amp; Analysis team is responsible for delivering functional expertise, business process analysis, and application support across the enterprise&rsquo;s Oracle Cloud ERP ecosystem. This team partners with business stakeholders, technical, and cross-functional teams to ensure that Oracle ERP modules&mdash;such as Finance, Procurement, Projects, Research, Supply Chain, and Human Capital Management (HCM)&mdash;are effectively configured, optimized, and aligned with organizational objectives.
</p><p>The team provides both strategic and operational support, including requirements gathering, solution design, process improvement, system configuration, testing, reporting, and training. Their work ensures that Oracle Cloud ERP and the boundary systems it integrates with enable accurate, efficient, and scalable business operations.</p></div><p></p>
<br><div><p><b>REQUIRED QUALIFICATIONS
</b></p><ul><li>Bachelor's degree in a related area and/or equivalent experience/training.
</li><li>5+ years of experience in business transformation, value engineering, strategy, or enterprise advisory roles, preferably in healthcare or higher education environments.
</li><li>5+ experienced with Oracle Fusion applications, analytics, or AI platforms
</li><li>3+ years of dimensional and relational data modeling experience
</li><li>2+ years building and delivering LLM/GenAI solutions
</li><li>Ability to understand and model complex knowledge-intensive processes Oracle ERP data structures and business processes (Finance, SCM, Research or HCM)
</li>Familiarity with highly complex data quality and governance issues and requirements.<br>
<li>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li>Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non- technical personnel at various levels in the organization.
</li><li>3+ years of experience in relational database, SQL, or system development life-cycle project; and/or equivalent experience/training.
</li><li>1+ year of experience in an organization comparable to UCSF in terms of budget, size, complexity, scope of operation, and accounting systems
</li><li>Knowledge of supply chain, human capital management, or finance systems and processes within a healthcare or higher education environment
</li><li>Certifications
</li><li>Oracle Certifications
</li><li>Lean Six Sigma Black Belt (LSSBB)
</li><li>Project Management Professional (PMP)
</li><li>Certified Business Analysis Professional (CBAP)</li></ul></div>
<br><div><div><b>About UCSF<br>
</b></div><div></div><br>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.<br>
</div><div></div><br>
<div><b>Pride Values<br>
</b></div><div></div><br>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .<br>
</div><div></div><br>
<div>In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .<br>
</div><div></div><br>
<div>Join us to find a rewarding career contributing to improving healthcare worldwide.<br>
</div><div></div><br>
<div><b>Equal Employment Opportunity<br>
</b></div><div></div><br>
<div><i>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.<br>
</i></div><div></div><br>
<div><div><b>Salary Information<br>
</b></div><div></div><br>
<div>The final salary and offer components are subject to additional approvals based on UC policy.<br>
</div><div></div><br>
<div>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.<br>
</div><div></div><br>
<div>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div></div><div></div>

Oracle AI Forward Engineer

MERCOR

<div><h2 class="jobSectionHeader"><b>About Mercor</b></h2><p></p><p>
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.</p><p></p><p>
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.</p><p><b>
About the Role:</b></p><p>
Mercor&rsquo;s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You&rsquo;ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><ul><li><p>
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.</p></li><li><p>
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.</p></li><li><p>
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.</p></li><li><p>
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.</p></li><li><p>
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.</p></li><li><p>
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.</p></li><li><p>
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.</p></li><li><p>
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.</p></li><li><p>
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.</p></li><li><p>
Manage relationships with key stakeholders to promote trust and future opportunities.</p></li></ul><p></p><p><b>
Knowledge, Skills, &amp; Abilities:</b></p><ul><li><p>
Excellent leadership, communication, and stakeholder management skills.</p></li><li><p>
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).</p></li><li><p>
Superb attention to detail, sound judgment, and strong listening skills.</p></li><li><p>
Comfortable driving process improvement and proposing more efficient ways of working.</p></li><li><p>
Passion for data-driven products and cross-functional collaboration.</p></li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li><p>
3-5+ years of project management experience or related experience.</p></li><li><p>
Bachelor&rsquo;s degree or equivalent experience in a related field.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Proven track record managing large, cross-functional data or technical projects.</p></li><li><p>
Experience managing a high volume of projects in parallel.</p></li><li><p>
Experience with data, engineering, or analytics project types.<b>Benefits</b></p></li></ul><ul><li><p>
Bi-annual performance bonus structure</p></li><li><p>
Generous equity grant vested over 4 years</p></li><li><p>
Up to $15k Relocation bonus</p></li><li><p>
$10K housing bonus (if you live within 0.5 miles of our office)</p></li><li><p>
$1.5K monthly stipend for meals</p></li><li><p>
Free Equinox membership</p></li><li><p>
$200 monthly laundry reimbursement</p></li><li><p>
$200 monthly personal wellness reimbursement</p></li><li><p>
Health, Dental, Vision insurance</p></li></ul><p>
Compensation Range: $130K - $180K</p></div>

Project Manager, Data Team

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