Web Experience Manager, Weights & Biases

$108-150k

+ Equity

Mid and Senior level
Remote in US
San Francisco Bay Area
Weights & Biases

‍MLOps platform for developers

Open for applications

Weights & Biases

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Open for applications

$108-150k

+ Equity

Mid and Senior level
Remote in US
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

Weights & Biases's mission is to build the best tools for machine learning.

Role

Who you are

  • 3-5+ years of experience managing websites in the technology industry
  • Strong analytical skills to report on website performance
  • Proven track record of executing website testing strategies
  • Ability to select and implement bar raising website designs
  • Core skills:
  • Outgoing and friendly: Our website serves a lot of functions and many parts of our company rely on it. You’ll work with a distributed, passionate team on a daily basis
  • Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role
  • Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. We have a technical audience and people who can absorb new, complex concepts excel. You’ll solve problems in both fast-paced, short term sprints and in larger, more long-term projects
  • Organized: A core part of your role is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well

What the job involves

  • Reporting to the Senior Content Manager, the Web Experience Manager will own the end-to-end experience of the Weights & Biases website including the technology backend and design
  • The Web Experience Manager will partner closely with the revenue marketing team to build a website that not only delivers strong messaging but also drives product demand and adoption
  • Design, build, and continuously improve website strategies to drive significant growth in traffic, engagement, contacts, and product sign-ups
  • Diagnose and repair underperforming pages; evaluate and recommend the best system solutions
  • As the single point of contact for the website, you’ll need to stay ahead of industry trends and ensure best-in-class design by collaborating with design professionals
  • Document and enhance the customer journey so the website serves both technical leaders and developers effectively
  • Create and manage comprehensive A/B testing and experiment strategies to optimize website performance and user experience
  • Lead and provide recommendations for user experience improvements, ensuring a robust design that accommodates complex user personas and navigation needs
  • Our website serves a lot of functions and many parts of our company rely on it. You’ll work with a distributed, passionate team on a daily basis
  • If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role
  • Explore machine learning and learn more about the engineering stack and common ML workflows
  • We have a technical audience and people who can absorb new, complex concepts excel. You’ll solve problems in both fast-paced, short term sprints and in larger, more long-term projects
  • A core part of your role is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well

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 headshot

Steph

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

31% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Aug 2023

$50m

LATE VC

Oct 2021

$135m

SERIES C

Total funding: $250m

Company benefits

  • đŸïž Unlimited vacation time
  • đŸ©ș 100% Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • đŸ’” $500 home office budget with new high-powered laptop
  • đŸ„‡ Truly competitive salary and equity
  • đŸšŒ 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

Leadership

Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).

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).

Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 9 more jobs at Weights & Biases