Director of Corporate FP&A, Weights & Biases
$160-221k
+ bonus + equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$160-221k
+ bonus + equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Required experience: Experience in high-growth, fast-paced environments at an enterprise SaaS startup and prior experience in investment banking or private equity. Candidates without this experience will not be considered
- Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA or CFA preferred
- 12+ years of progressive responsibility with a minimum of 5 years of management experience
- Strong analytical skills with proficiency in financial modeling, forecasting, and analysis
- Proven track record of partnering with and influencing senior leadership to drive strategic initiatives and financial performance
- Ability to manage multiple tasks and urgent demands in a fast-paced environment
- Advanced proficiency in financial software and tools such as Excel, Netsuite, Tableau, and planning tools (Pigment, Anaplan, etc.)
- Strong leadership and team management skills to motivate and develop a high-performing team
- Willingness to roll up your sleeves and tackle tasks in a start-up environment
What the job involves
- We are looking for a Director to join the FP&A team
- Reporting to the CFO, you will be responsible for leading and building the Corporate FP&A function to forecast, plan & report on the consolidated company financials and oversee the implementation and maintenance of the team’s planning tool
- They will help evaluate and determine the overall strategy for investment, headcount planning, targets, and compensation
- The Director will also partner with senior executives in the organizations to forecast, plan, analyze business activities, and model out key investments and associated returns
- This is a player-coach role and will require hands-on modeling and presentation work
- The Director will interact frequently with senior management in this role and must become a trusted thought partner to both the CFO, CEO, and the executive team
- Own and develop the company's core financial model and planning processes, partnering closely with CFO
- Drive annual budgeting, quarterly forecasting, and long-range planning cycles
- Manage comprehensive planning calendar
- Lead the implementation and maintenance of FP&A planning tool to scale financial processes
- Develop and maintain sophisticated financial models to support strategic decision-making and capital allocation
- Partner with executive team to establish and monitor financial targets
- Provide data-driven insights to shape company strategy and investment decisions
- Translate complex financial analyses into clear recommendations for executive decision-making
- Develop business cases and financial analyses for strategic initiatives and investment decisions
- Prepare and present comprehensive financial reports for senior management and stakeholders
- Analyze financial performance against budget, forecast, and prior year; identify trends and variances
- Track and report on company OKRs and key financial targets
- Support investor relations activities and quarterly reporting requirements
- Design and implement company-wide performance metrics and KPIs
- Lead monthly/quarterly business reviews with the executive team
- Manage one Business Partner on the Corporate FP&A team
- Establish scalable processes and systems for financial planning and reporting
- Drive automation initiatives to streamline FP&A processes
- Partner with cross-functional teams to improve the efficiency of financial processes
- Support CFO in developing team capabilities
- Set team goals and ensure alignment with overall business objectives
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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