FP&A Associate, Weights & Biases
R&D
$101-139k
Salary dependent on location. + Equity
More information about location
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$101-139k
Salary dependent on location. + Equity
More information about location
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- This role requires a strategic thinker with strong analytical skills, exceptional financial acumen and the ability to collaborate constructively with cross functional teams
- 3+ years of FP&A, corporate finance, or related experience in investment banking, private equity or high growth SaaS
- Strong preference for prior experience working with R&D teams and a solid understanding of hosting infrastructure platforms
- Impressive analytical skills with a demonstrated ability to conduct complex quantitative analyses and deliver actionable insights in a timely manner
- Comfort thriving in a fast paced, demanding environment with shifting priorities and tight deadlines
- Excellent presentation and interpersonal skills with experience effectively engaging with stakeholders at multiple levels
- Eagerness to learn, adapt and take on increasing responsibilities over time
- Proficiency in financial modeling and tools such as Excel, NetSuite and FP&A software (e.g., Anaplan, Pigment or similar)
What the job involves
- We are seeking a highly motivated FP&A Associate, R&D to join our dynamic FP&A team
- Reporting to the Director of R&D FP&A, this role will play a critical part in supporting the financial planning, analysis and reporting activities for the R&D organization
- In this high impact role, you will have an opportunity to work closely with multiple R&D stakeholders and the broader Finance org to drive data-driven decision making and support strategic investments in R&D initiatives
- Support monthly and quarterly close processes, including detailed variance analyses on hosting costs, R&D expenses and headcount, along with accurately forecasting budgets and their impacts on the Company’s overall financial performance
- Maintain and refine advanced financial models, including bottoms-up hosting infrastructure forecasts, integrating key usage and cost drivers to optimize resource allocation, improve efficiencies and manage expenses
- Conduct extensive financial analyses and scenario modeling on hosting metrics, R&D KPIs and business trends to prioritize R&D investments, evaluate trade-offs and align business decisions with strategic objectives
- Build strong relationships with budget owners and cross-functional stakeholders to gather inputs, provide financial guidance and support critical decision-making through data-driven insights
- Collaborate with the FP&A team to automate financial forecasting, create dashboards and streamline processes to enhance reporting and improve productivity across the Company
- Prepare robust financial presentations for the Board, Leadership Team and key stakeholders, clearly articulating R&D insights and actionable recommendations
- Collaborate with Accounting to ensure accurate cost allocation, accruals and data alignment during financial close processes
- Assist in improving financial processes, systems and tools to increase accuracy and scalability across multiple workstreams and teams
- Contribute to cross functional initiatives including implementing financial planning tools and supporting ad hoc projects to drive strategic initiatives
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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