associate, strategic finance - autonomous mobility & delivery

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ai transformation specialist Jobs in San Francisco

ai transformation specialist

analyst, solutions management Jobs in San Francisco

analyst, solutions management

analytics, finance & strategynew Jobs in San Francisco

analytics, finance & strategynew

associate, strategic finance - autonomous mobility & delivery Jobs in San Francisco

analytics finance strategynew

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance &amp; Strategy (F&amp;S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world.

This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science &amp; Analytics, and Finance &amp; Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business&mdash;revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&amp;L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul>
<li>Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership
</li>
<li>Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company
</li>
<li>Partner with Finance &amp; Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows
</li>
<li>Establish analytics engineering and BI best practices for F&amp;S, including data management, governance, and reporting standards
</li>
<li>Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics
</li>
<li>Champion data-informed decision making across the organization
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you:</h2>
<ul>
<li>Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance &amp; Strategy, Data Infrastructure and Analytics Engineering
</li>
<li>Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation
</li>
<li>Have a track record of producing analyses that have meaningfully influenced business or leadership decisions
</li>
<li>Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI
</li>
<li>Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)
</li>
<li>Have hands-on experience working with financial systems and building downstream data models from these systems
</li>
<li>Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives
</li>
<li>Are detail-oriented with a deep commitment to data accuracy
</li>
<li>Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables
</li>
<li>Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact
</li>
</ul><h2 class="jobSectionHeader">Strong candidates may have:</h2>
<ul>
<li>Championed AI driven analytics and financial analysis within their organizations
</li>
<li>Prior experience in high-growth technology companies or startups
</li>
<li>Strong financial acumen with deep understanding of finance principles
</li>
<li>Knowledge of statistical analysis and advanced analytics techniques
</li>
<li>Familiarity with data governance best practices and experience implementing data quality frameworks
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div><div>
Annual Salary:</div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process</div></div>

Analytics, Finance & StrategyNew

Data Scientist, Analytics (Technical Leadership)

ŌURA

<div><div>Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work &mdash; both in and out of the office.</div>
The FP&amp;A team at Oura plays an important part in delivering our company mission. We are a highly visible function responsible for delivering mission-critical analytics and insights to leadership and key stakeholders. To further our impact, we are looking for a Manager to join our Operations FP&amp;A team. This role will report to the Senior Manager of Operations FP&amp;A and will partner across Supply Chain and Data functions.

As the Finance Manager of Operations Excellence, you will be the primary architect of our financial transformation initiatives and implementations of new financial frameworks and tool. This is a high-impact leadership role designed to bridge the foundational gap between our current operational state and our vision of a world-class, AI-forward supply chain finance function. You will lead high-stakes project management across process engineering and systems transformation, focusing on the maturation of our supply chain finance capabilities. You will have the mandate to redesign processes spanning data ingestion, insight democratization, and financial planning to support the rapid scale and complexity of our hardware operations. You will leverage your experience building and managing supply chain finance functions as well as your close partnership with the core team that supports existing planning and analysis, to ensure our transformational agenda sustainably supports the long term requirements of the business.
<h2 class="jobSectionHeader">
What You will do</h2>
<ul><li>Partner closely with executive leadership; including the Chief Financial Officer and Chief Supply Chain Officer, and other senior stakeholders, to drive planning and analytics strategy within the supply chain</li>
<li>Own the development and execution of the team's Maturity Scorecard, moving the function toward best-in-class standards in data integrity, process automation, and decision support</li>
<li>Lead oversight of the design and implementation of the FP&amp;A Operations suite of EPM modules, ensure the system architecture meets future scalability needs</li>
<li>Architect the team's AI strategy, documenting high-value use cases for diagnosis and addressing cost drivers; Collaborate with the Data team to prioritize the implementation of AI-driven dashboards and predictive forecasting tools to improve team speed and efficiency</li>
<li>Own the transition from process design to MVP creation for transformational initiatives and new financial frameworks, collaborating with FP&amp;A SMEs to operationalize new frameworks into the daily cadence of the business</li>
<li>Serve as a key advisor to Finance and Supply Chain leadership, providing detailed financial analysis for cost-saving initiatives and complex business cases</li>
<li>Act as a technical mentor to the broader finance team, elevating organizational capabilities in systems thinking, AI application, and process design</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>

We would love to have You on our team, if You have:
<ul>
<li>8+ years of FP&amp;A experience</li>
<li>5+ years building and/or operating a supply chain finance function, including budget responsibility</li>
<li>Experience managing capital investments related to plants, machinery, and other supply chain infrastructure</li>
<li>Hands-on experience implementing or operating modern EPM platforms (e.g., Pigment, Anaplan, etc)</li>
<li>Experience leveraging AI and automation tools to automate financial workflows and improve data quality is preferred</li>
<li>Financial experience including general knowledge of US GAAP, full P&amp;L familiarity, and a deep understanding of hardware cost structures, including standard vs. actual cost accounting, inventory management, and manufacturing price variance (PPV)</li>
<li>Experience influencing executive level decision-makers and ability to articulate complex financial and operational concepts to non-finance stakeholders</li>
<li>Strong proficiency in Excel/Google Sheets, experience working with data visualization tools (eg. Tableau) preferred</li>
<li>Strong proficiency working in ERP systems (Netsuite preferred)</li>
<li>Bachelor's degree in Finance, Accounting, Supply Chain, or a related field; Advanced degree (MBA) or professional certification is highly desirable</li>
<li>Desire to succeed in an innovative and entrepreneurial environment: intellectual curiosity, proactive self-starter attitude, and high integrity</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
<ul>
<li>Region 1 $143,000 - $169,000</li>
<li>Region 2 $130,050 - $153,000</li>
<li>Region 3 $117,300 - $138,000</li>
</ul>
A recruiter can determine your Region based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

This is a hybrid role based out of our San Francisco office with the expectation to be onsite 3 days per week.<div><div>

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers! 
We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.</div></div></div>

Finance Manager, Operations Excellence

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Data Engineer

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines for robust financial reporting. You'll be at the forefront of integrating our product, financial, and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll build core datasets to serve as the sources of truth for Notion&rsquo;s financial reporting, integrating data from financial systems, business systems data and Notion&rsquo;s product.
 </li>
 <li>
 You&rsquo;ll partner closely with our Finance, Monetization Engineering, Business Intelligence and Data Science teams to support critical financial reporting and analysis needs.
 </li>
 <li>
 You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.
 </li>
 <li>
 You&rsquo;ll help democratize access to high quality financial data across Finance, Staff and go-to-market teams.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You've spent 4+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.
 </li>
 <li>
 You&rsquo;ve built integrations with and reporting datasets for payments, finance and business systems like Stripe, Netsuite, Adaptive, Anaplan, Salesforce and/or others.
 </li>
 <li>
 You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs
 </li>
 <li>
 You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
 </li>
 <li>
 You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries
 </li>
 <li>
 You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)
 </li>
 <li>
 You don&rsquo;t need to be an AI expert, but you&rsquo;re curious and willing to adopt AI tools to work smarter and deliver better results
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)
 </li>
 <li>
 You have hands-on experience building payment processing and invoice systems or have worked closely with teams that do this.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $170,000 - $240,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Data Engineer, Finance

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As Notion scales, there is a unique opportunity to build the data foundations for People Analytics that enable better decisions around hiring, performance, compensation, and org design - while maintaining strong privacy guarantees for sensitive employee data.
 
 
 In this role, you will design, build, and operate scalable data systems and pipelines that power People data. Your work will ensure that employee data is reliable, secure, and production-ready, enabling both analytics and AI-driven people workflows across the company
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 Partner closely with the Chief People Officer and People leadership team to translate strategic questions into clear metrics and data products that inform workforce planning, organization design, performance reviews, compensation discussions, and executive reporting
 </li>
 <li>
 Define and build ETL/ELT pipelines and infrastructure to ingest and standardize data from HRIS and adjacent systems such as Workday, ATS, payroll, benefits, performance platforms, creating a reliable source of truth for headcount, org structure, hiring, attrition, and talent health
 </li>
 <li>
 Design privacy-first data architecture, including access controls, PII handling, and governance standards
 </li>
 <li>
 Implement data quality, testing, and observability systems to ensure sensitive employee data is accurate and trustworthy
 </li>
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 Design privacy-aware data models, transformations, semantic layers, and quality checks so sensitive employee data is accurate, timely, well-documented, and governed appropriately with role-based access controls for decision-making and makes AI-powered people tools and automations reliable enough to ship to production
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 <li>
 Partner with People Analytics to translate ambiguous requirements into scalable datasets, dashboards, and self-serve data products that give People leaders, People Partners, and managers visibility into workforce trends while reducing manual overhead.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 6+ years of experience in analytics engineering, data engineering, people analytics, or a closely related role, with a track record of building trusted datasets and systems for business decision-making
 </li>
 <li>
 Hands-on experience working with HRIS and adjacent People systems data (for example Workday, ATS (Ashby), payroll, benefits, performance, or engagement platforms) and know how to reconcile definitions across messy, evolving source systems
 </li>
 <li>
 Proficiency in SQL and data modeling, and can build production-grade transformations, define durable metric logic, and write performant queries against large analytical datasets
 </li>
 <li>
 Proficiency in Python (or similar OOP languages) for building data pipelines, automation, and infrastructure
 </li>
 <li>
 Experience designing systems with data quality, testing, monitoring, and SLAs in mind
 </li>
 <li>
 Experience with modern data tooling and cloud warehouses such as Snowflake, dbt, Airflow, Fivetran, or similar technologies, along with strong instincts around testing, monitoring, and data quality
 </li>
 <li>
 Excellent judgment with sensitive and confidential data, and can implement infrastructure and tooling for data privacy, access controls, governance, and thoughtful interpretation of people metrics
 </li>
 <li>
 Effectiveness in partnering directly with the CPO, People Partners, Finance, and business leaders to turn ambiguous questions into scoped solutions and clearly communicated insights
 </li>
 <li>
 Ability to leverage AI and agent-based tools to accelerate development, while defining guardrails for safe, production-grade data workflows
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)
 
 
 </li>
 </ul>
 Our customers come from all walks of life and so do we. 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. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $213,000 to $250,000
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Data Engineer, People Analytics

Recruiting Solution Incorporated

<div>
 
 
 Corporate FP&amp;A Manager
 
 
 
 
 San Francisco, CA, remote position
 
 
 
 
 Salary $120,000-$150,000 depending on experience + 15% bonus + equity
 
 
 
 
 
 
 
 Our client is a leading Publicly Traded Financial Services Company. They have a dynamic, supportive culture led by an exceptional leadership team that truly invests in employee growth and well-being. Our collaborative, team-first environment fosters genuine care for our people&mdash;backed by toptier professional development programs, clear paths for career advancement, and a highly competitive total compensation package. This position is remote.
 
 
 
 
 
 
 
 Are you a strategic thinker with a passion for turning complex financial data into actionable insights that drive business success? We're seeking an experienced Corporate FP&amp;A Manager with at least 1year of management experience to join our collaborate finace team.
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 Financial Forecasting &amp; Planning
 
 
 <ul>
 <li>
 
 Own multi-year financial forecasts incorporating premium growth, loss ratios, expense trends, investment income, and market conditions
 
 </li>
 <li>
 
 Develop projections across underwriting performance, operating expenses, capital management, and credit-risk transfer (CRT) transactions
 
 </li>
 <li>
 
 Enhance forecasting methodology through trend analysis, scenario modeling, and assumption governance
 
 </li>
 <li>
 
 Partner with actuarial teams to align forecasts with reserve and loss projections
 
 </li>
 </ul>
 
 
 Financial Modeling &amp; Scenario Analysis
 
 
 <ul>
 <li>
 
 Build complex models to support strategic and transaction decisions including:
 
 </li>
 <li>
 
 Reinsurance &amp; CRT structures (capital relief vs. economic cost)
 
 </li>
 <li>
 
 Debt refinancing and make-whole call timing
 
 </li>
 <li>
 
 Deferred acquisition cost (DAC) amortization aligned to premium earning patterns
 
 </li>
 <li>
 
 Perform stress testing and sensitivity analysis for economic downturns, catastrophe exposure, and rate changes
 
 </li>
 <li>
 
 Strategic &amp; Transaction Advisory
 
 </li>
 <li>
 
 Provide financial leadership on capital allocation decisions (share repurchases, dividends, growth investments)
 
 </li>
 <li>
 
 Support negotiation and optimization of CRT and reinsurance programs
 
 </li>
 <li>
 
 Evaluate investment strategies and asset-liability impacts on statutory and economic capital
 
 </li>
 <li>
 
 Assess regulatory capital implications (RBC, rating agency models)
 
 </li>
 </ul>
 
 
 KPI &amp; Performance Analytics
 
 
 <ul>
 <li>
 
 Develop and monitor insurance-specific KPIs including:
 
 </li>
 <li>
 
 Combined ratio, loss ratio, expense ratio
 
 </li>
 <li>
 
 Premium growth and retention
 
 </li>
 <li>
 
 Return on equity (ROE) and capital efficiency
 
 </li>
 <li>
 
 Conduct profitability and cost-per-policy analysis by product and channel
 
 </li>
 <li>
 
 Variance Analysis &amp; Controls
 
 </li>
 <li>
 
 Lead monthly and quarterly variance analysis vs. plan and forecast
 
 </li>
 <li>
 
 Identify drivers across underwriting results, claims development, expenses, and investments
 
 </li>
 <li>
 
 Strengthen forecasting accuracy and financial controls in partnership with accounting and actuarial teams
 
 </li>
 </ul>
 
 
 Executive &amp; Board Reporting
 
 
 <ul>
 <li>
 
 Prepare Board and executive presentations covering:
 
 </li>
 <li>
 
 Financial performance and outlook
 
 </li>
 <li>
 
 Capital adequacy and deployment
 
 </li>
 <li>
 
 Reinsurance/CRT strategy
 
 </li>
 <li>
 
 Market and economic risk scenarios
 
 </li>
 <li>
 
 Provide forward-looking sensitivities during periods of volatility
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in finance, Accounting, Economics, or related field (MBA preferred)
 
 </li>
 <li>
 
 7+ years of progressive FP&amp;A or corporate finance experience within insurance or financial services preferred
 
 </li>
 <li>
 
 Advanced financial modeling and forecasting expertise
 
 </li>
 <li>
 
 Strong executive communication and presentation skills
 
 </li>
 <li>
 
 Advanced Excel and financial systems (Adaptive, Anaplan, Hyperion, Power BI, etc.)
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Equal Opportunity Employer
 
 
 
 Recruiting Solution Incorporated is proud to be an Equal Opportunity Employer. We are committed to building diverse and inclusive workplaces and welcome candidates of all backgrounds, regardless of gender identity or expression, sexual orientation, national origin, religion, marital status, veteran status, age, disability, or race.
 
 
 
</div>

Financial Planning and Analysis Manager

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