Senior Financial Planning and Analysis Manager, Weights & Biases
Sales
$152-210k
+ Equity
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$152-210k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 4+ years post-MBA or 6+ years without an MBA in relevant financial reporting/financial analysis experience with a proven track record of success in positions of increasing responsibility
- Must have prior experience in go-to-market FP&A (or focus on Sales, CS, or PS) at an enterprise SaaS startup or at a private equity backed company. Prior investment banking experience preferred
- Excellent financial modeling skills and experience leading and managing highly quantitative, complex analysis
- Very strong communication/ presentation skills with experience creating and delivering effective presentations to senior management
- Comfortable with fast-paced, demanding environment. Must manage multiple tasks and juggle several urgent demands at any given point, while adapting to changing priorities
What the job involves
- Reporting to the CFO, The Sr. Manager will support world class financial forecasting, planning & reporting of the Go-to-Market orgs: Sales, Pre-and Post Sales, BD, and Professional Services. They will help evaluate and determine overall strategy for investment, headcount planning, targets and compensation. The Sr. Manager will also partner with senior executives in the organizations to forecast, plan and analyze business activities and model out key investments and associated returns
- The Sr. Manager will interact frequently with senior management in this role and must become a trusted thought partner to their teams
- Become embedded with Sales and broader set of Revenue organizations, establish trust, and quickly understand the business, economics, and metrics
- Develop robust models on trends, key business drivers, and financial results to prioritize & plan investment decisions in collaboration with senior management
- Advise on breakdown of optimal marketing spend across a variety of categories, develop models on profitability of sales channels, geos and products, and use the results of analysis to influence spend going forward
- Support headcount and compensation planning and payouts as well as quarterly and annual target setting
- Support approval and discussion of non-standard deals in partnership with Rev Ops and Deal desk
- Perform ad-hoc analysis and special projects as needed to support business decisions and strategic initiatives
- Oversee preparation of budgets and forecasts, month-end reporting and analysis, operational and management reporting
- Prepare monthly dashboard of operating results, trends, and metrics for the executive team
- Focus on sources of variability, understand causes, and implement data-driven forecasting improvements
- Prepare a monthly consolidated go-to-market pack in coordination with other FP&A team members, annual plans, and quarterly re-plans as well as weekly bookings and revenue status updates
- Identify additional data needed and help operationalize and streamline the systems and data collection processes needed to support a robust forecasting and planning process
- Work with Accounting on the monthly and quarterly reporting cycle to ensure accurate and timely financial reporting
- Work hand in glove with Sr. Manager, Marketing FP&A to provide holistic support to full GTM leadership business partners
- Partner with and provide guidance and feedback to others on the FP&A team
- Manage an Associate on the team, providing coaching, development, and performance management
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
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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