Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

**About the role:**

You will act as the technical lead for our Data Science team. The Data Science team sits in our larger Machine Learning organization. The Afresh system comprises, among other sources of data, machine learning forecasts, inventory estimates, user-provided data, and clickstream data. You will work with product managers, go-to-market experts, applied scientists, and other stakeholders to turn this data into metrics and experiments that will guide our company towards more and more food waste reduction.

You will also own a critical part of Afresh’s business: proving the value that we generate for our customers. To do so, you will build on our existing statistical analysis tools to ship rigorous metrics and statistical experiments that demonstrate our impact to our customers and internal teams.

- In your first 3 months, you will familiarize yourself with our existing statistical toolkit and make a scoped improvement to it. You will learn about our ongoing product experiments and metric development, and work with our data scientists to spin up an experiment and/or new metric. You will attend calls with our customers and learn about the nature of data in the grocery industry.
- By the end of your first 6 months, you will introduce additional metrics and ways of slicing at our data that unlock new insights for our customers. You will have onboarded onto our experimentation platform and helped guide our product team towards the right feature choice.
- By the end of your first year, you will make foundational improvements to our causal inference pipelines, making them more scalable and powerful. You will introduce new norms to the team around metric creation and statistical methods.

**Skills and experience:**

- 4+ years of experience as a data scientist. 6+mo experience as a technical lead where you regularly mentored other team members.
- Expert abilities in statistical analysis, especially in experimental design. Familiarity with causal inference. Extensive experience with both applied and theoretical statistics.
- Expert abilities in SQL. Expert abilities in using Python for data analysis.
- Familiarity with tools for Python statistical analysis (e.g., pandas, statsmodels, sklearn, dplyr).
- Excellent data visualization and dashboarding skills, including familiarity with at least one major dashboarding platform (e.g. Tableau, Looker, Mode).
- Excellent written and verbal visual communication skills with the proven ability to quickly deliver high-quality analyses

Staff Data Scientist - Performance

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

**About The Role**

As our I

**nfrastructure Lead**

, you'll be a cornerstone member of Afresh’s engineering operations team that oversees security, infrastructure, and developer experience for the department. On this team, you will:

- Lead the effort to make our cloud infrastructure simpler and more accessible for our service-owning engineering teams to own and maintain
- Partner closely with our customers (our fellow engineering teams) to understand their infrastructure needs and provide tailored solutions
- Improve the observability of our infrastructure to ensure high reliability and performance
- Empower our customers to optimize resource utilization and control costs
- Ensure infrastructure compliance with security and data protection regulations, in collaboration with InfoSec
- Participate in our on-call rotation and help us maintain a low page rate by continuously improving our monitoring / alerting to stay ahead of problems and addressing root causes to avoid repeat incidents
- Stay up-to-date with the latest infrastructure technologies and best practices to drive continuous improvement

**Skills and Experience**

- Prior experience as a Tech Lead, as well as experience mentoring others.
- Experience monitoring and maintaining mission-critical cloud infrastructure at scale
- Experience leading the architecture, development, and orchestration of scalable and secure infrastructure (preferably on Azure, but AWS / GCP are okay)
- Experience making it easy for service owners to understand and manage their own infrastructure
- Deep understanding of cloud networking and security best practices, you build infrastructure that’s intrusion-resistant by default to safeguard our systems and data.
- Ability to troubleshoot complex infrastructure issues and restore service quickly while communicating early and often with stakeholders. Bonus if you’ve implemented automation to minimize human intervention!
- Experience or interest in InfoSec and/or Developer Experience (the functions you’ll be working alongside) is a bonus!
- Strong communication and relationship-building skills to effectively collaborate with and serve the dozen other engineering teams who are our customers
- Stellar cross-functional collaboration and communication. You enjoy giving and receiving constructive feedback to and from colleagues and know when/how to diplomatically push back when needed
- Execution-focused. You’re as reliable as the infrastructure you build, making commitments and consistently delivering on them.

Technologies: Terraform, Python, Kubernetes

Base Pay: $186,300-$212,175

**About Afresh**

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

**Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.**

Staff Software Engineer, Infrastructure

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

**About The Role**

The Product Engineering team at Afresh is responsible for building out the suite of products that our customers use every day, whether it’s an individual produce manager looking to order their store’s groceries for the day, corporate supervisors looking to view individual store performance, and everything in between. Grocers rely on these solutions within Afresh’s Fresh Operating System to improve the accuracy and efficiency of their workflows, all contributing to our goal of reducing food waste. You will be playing a key role in building out these solutions for our customers. Our team and products are growing at a rapid pace, which means that there will be plenty of opportunities for ownership and making your impact felt. Some of your responsibilities will include:

- Leading complex cross-functional projects and shipping high-quality apps and services.
- Designing and building our GraphQL APIs which serve our mobile and web apps.
- Scaling our APIs, architecture, and infrastructure to serve thousands of grocery stores as we grow our customer base over the next year.
- Collaborating closely with our product and design teams to build rich and engaging user experiences.
- Building out our analytics and monitoring/observability to understand our system behavior and make informed decisions.
- Helping lay the foundation of our scalable service-based infrastructure to support developer productivity and resiliency.
- Work with other engineering teams to drive improvements in process, practice, and positive engineering culture so we all grow and mature together.

**Skills And Experience**

The following represents attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria.

- BS in Computer Science or equivalent experience
- 6+ years experience with full-stack and API development
- Experience acting as a tech lead on complex cross-functional projects
- Proven track record of shipping high-quality apps and services
- Strong understanding of API development and good API design
- Collaborative attitude while also being highly self-directed
- System-level problem solving and excitement to tackle hard problems
- Enjoy working in a fast-paced, startup environment
- Technologies: JavaScript, TypeScript, React, GraphQL, and PostgreSQL preferred.

Afresh is committed to pay equity and providing highly competitive cash compensation, equity, and benefits package. Afresh conducts a pay equity audit twice each year to ensure that jobs of similar scope and impact are paid similar amounts. The final compensation offered for this role will be based on multiple factors such as the role’s scope, complexity, internal equity, the candidate’s experience/expertise, and success through the interview process.

Salary Band:

**About Afresh**

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

**Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.**

Staff Software Engineer - Product

Afresh

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software!

Afresh

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