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Senior Data Scientist
Button · Remote (United States), United States · Remote · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Button |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Engineering |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-02-17 / 2026-05-29 |
| Changed / last seen | 2026-06-19 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Button. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Button |
| Source | a4d0d6ac-a999-4f28-ab5c-97375e784c9b |
| ATS provider | Rippling ATS |
Description
company
Button’s mission is to build a better internet, fueled by commerce. Today, we work with some of the largest and most interesting businesses in the world to connect consumers with what they want at the tap of a button. We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it.
role
We are a deeply data driven company. Machine learning is not a side function here. It powers recommendation, ranking, routing, monetization, experimentation, and product strategy. As a Senior Data Scientist, you will play a critical role in shaping how intelligence is embedded into our products and decision making.
You will operate at the intersection of Product, Engineering, and GTM, translating complex data into clear strategy and production systems. This is not a research only role. It is a product facing, impact driven position where you own outcomes end to end.
AS A SENIOR DATA SCIENTIST, YOU WILL: Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization Own A/B testing strategy and causal measurement for product features and partner performance Partner with engineers to productionize models and integrate them into live systems Build analyses, dashboards, and tools that inform product strategy and customer outcomes Define metrics and success criteria for new initiatives Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack Raise the bar for statistical rigor and experimentation across the company
WHAT WE LOOK FOR:
Strong product instincts and comfort operating in ambiguity Ability to independently scope problems and drive solutions Clear communicator who can explain technical tradeoffs to non technical partners Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders Ability to thrive in ambiguous, fast-moving environments where you must create clarity, drive forward progress, and pivot when necessary Strong grasp of model lifecycle management (real-time performance tracking, data drift monitoring, retrain intervals) Bias toward shipping and measurable impact Collaborative mindset across Product, Engineering, and GTM teams EXPERIENCE: 5+ years applying statistics or machine learning in production environments Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy Strong Python skills Strong SQL proficiency and proven track record working with large scale datasets Experience with AWS, distributed systems, and high volume data pipelines Experience deploying and maintaining models in production Solid foundation in linear algebra, optimization, and model evaluation Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management NICE TO HAVE: Experience in marketplaces, ads tech, retail media, or growth optimization Strong instincts for what drives product adoption, engagement, and retention Familiarity with both B2C and B2B marketing analytics, and a holistic view of how different product verticals support one another Experience with ranking, pricing, or allocation problems Familiarity with feature stores, model monitoring, or ML platforms Experience with MLFlow (or similar tools), Sagemaker, Vector Databases (Pinecone, Faiss, Amazon MemoryDB), SparkML, Docker, Experimentation Platforms (Statsig, Eppo by Datadog) COMPENSATION & BENEFITS: Button is one of the fastest growing and profitable growth equity backed companies based out of NYC. Backed by PSG, Button is pioneering new ways for companies to build revenue models at the intersection of creators, retailers, and brands. We’ve been recognized multiple times by BuiltIn, Fortune, Inc., and Crain’s magazines as one of the best places to work in the US, and we’re building a team of happy warriors to bring the company to greater heights.
Button provides employees with a RemotePlus workplace , which blends “work from anywhere” with in-person collaboration. Button has a “hub” workspace in New York City as well as team members distributed across the United States and beyond. Button’s total compensation package includes a base salary competitive with what is offered by similar companies in major US markets. The on-target earnings range for this role is expected to be between $160,000 - $208,000 (offered salary is based on a number of factors including skills and experience relative to the job description listed above).
In addition, Button provides employees with a 401(k) plan and automatically contributes 3% of an employee’s salary annually. We also want our employees to be well-rested and live balanced lives–Buttonians enjoy unlimited time off (including birthdays off) and periodic Mental Health Weeks which allow the entire company to take a breath and recharge, as well as an employee assistance program.
For many of the health, vision, and dental insurance plans offered by Button, the company covers 100% of the premiums for employees and 75% for dependents. Button offers all employees and their dependents complimentary memberships to One Medical as well as a monthly stipend for mobile phone/internet and an annual lifestyle stipend. Button also offers employees in select markets “All Access” memberships to WeWork as well as regular “coworking days” and social events.
Most of all, Button offers our employees the opportunity to live our company values–Learn & Grow, Experiment, Adapt, and Deliver–and to be a part of an incredible team of humans working together to build a better internet, fueled by commerce.
Diversity & Inclusion:
Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and believe being open about who we are allows us to do the best work of our lives.
Equal Opportunity Employer:
Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.
Full job record
| Job ID | 25a9779730a7cae5c73ca0c03a30816a80d3ad6e |
| Org ID | d01ba0b4-f6df-48a9-b48e-47c44fd7b0a2 |
| Source ID | a4d0d6ac-a999-4f28-ab5c-97375e784c9b |
| Board ID | a4d0d6ac-a999-4f28-ab5c-97375e784c9b |
| Provider | rippling |
| Provider Job Key | c251ec67-6c5d-4a2b-b963-6b1cac327c18 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/button/jobs/c251ec67-6c5d-4a2b-b963-6b1cac327c18 |
| Apply URL | https://ats.rippling.com/button/jobs/c251ec67-6c5d-4a2b-b963-6b1cac327c18 |
| First Seen At | 2026-05-29 07:13:38Z |
| Last Seen At | 2026-06-19 10:08:30Z |
| Last Checked At | 2026-06-19 10:08:30Z |
| Last Changed At | 2026-06-19 10:08:30Z |
| Inactive At | — |
| Source Posted At | 2026-02-17 21:54:40Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=button/date=2026-06-19/2026-06-19T10-08-29-927Z-f14365e410d62c54e98e6530c696e5bb1b3af9ff8084023588ba5e557906123d.json |
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"role": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">We are a deeply data driven company. Machine learning is not a side function here. It powers recommendation, ranking, routing, monetization, experimentation, and product strategy. As a Senior Data Scientist, you will play a critical role in shaping how intelligence is embedded into our products and decision making. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">You will operate at the intersection of Product, Engineering, and GTM, translating complex data into clear strategy and production systems. This is not a research only role. It is a product facing, impact driven position where you own outcomes end to end.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h1 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;text-align:start;padding-left:0px;\"><b><strong style=\"font-size:16pt;white-space:pre-wrap;\">AS A SENIOR DATA SCIENTIST, YOU WILL:</strong></b></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Own A/B testing strategy and causal measurement for product features and partner performance</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Partner with engineers to productionize models and integrate them into live systems</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build analyses, dashboards, and tools that inform product strategy and customer outcomes</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Define metrics and success criteria for new initiatives</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Raise the bar for statistical rigor and experimentation across the company</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:16pt;white-space:pre-wrap;\">WHAT WE LOOK FOR:</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong product instincts and comfort operating in ambiguity</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Ability to independently scope problems and drive solutions</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Clear communicator who can explain technical tradeoffs to non technical partners</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Highly effective written communication and presentation skills</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">A track record of translating complex data into clear, actionable insights for both technical and business stakeholders</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Ability to thrive in ambiguous, fast-moving environments where you must create clarity, drive forward progress, and pivot when necessary</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong grasp of model lifecycle management (real-time performance tracking, data drift monitoring, retrain intervals)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Bias toward shipping and measurable impact</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Collaborative mindset across Product, Engineering, and GTM teams</span></li></ul><h1 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"font-size:16pt;white-space:pre-wrap;\">EXPERIENCE:</strong></b></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">5+ years applying statistics or machine learning in production environments</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong Python skills</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong SQL proficiency and proven track record working with large scale datasets</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with AWS, distributed systems, and high volume data pipelines</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience deploying and maintaining models in production</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Solid foundation in linear algebra, optimization, and model evaluation</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management</span></li></ul><h1 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"font-size:16pt;white-space:pre-wrap;\">NICE TO HAVE:</strong></b></h1><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience in marketplaces, ads tech, retail media, or growth optimization</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong instincts for what drives product adoption, engagement, and retention</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with both B2C and B2B marketing analytics, and a holistic view of how different product verticals support one another</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with ranking, pricing, or allocation problems</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with feature stores, model monitoring, or ML platforms</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with MLFlow (or similar tools), Sagemaker, Vector Databases (Pinecone, Faiss, Amazon MemoryDB), SparkML, Docker, Experimentation Platforms (Statsig, Eppo by Datadog)</span></li></ul><h1 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:16pt;font-weight:600;letter-spacing:1px;margin-top:24px;margin-bottom:4px;text-align:start;padding-left:0px;\"><span style=\"font-size:16pt;white-space:pre-wrap;\">COMPENSATION & BENEFITS:</span></h1><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Button is one of the fastest growing and profitable growth equity backed companies based out of NYC. Backed by PSG, Button is pioneering new ways for companies to build revenue models at the intersection of creators, retailers, and brands. We’ve been recognized multiple times by BuiltIn, Fortune, Inc., and Crain’s magazines as one of the best places to work in the US, and we’re building a team of happy warriors to bring the company to greater heights. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Button provides employees with a</span><a href=\"https://www.usebutton.com/post/a-workplace-revolution-announcing-a-new-view-on-work-were-calling-remoteplus\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><u><span style=\"color:rgb(17,85,204);font-size:11pt;text-decoration:underline;white-space:pre-wrap;\"> RemotePlus workplace</span></u></a><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, which blends “work from anywhere” with in-person collaboration. Button has a “hub” workspace in New York City as well as team members distributed across the United States and beyond. Button’s total compensation package includes a base salary competitive with what is offered by similar companies in major US markets. The on-target earnings range for this role is expected to be between $160,000 - $208,000 (offered salary is based on a number of factors including skills and experience relative to the job description listed above).</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">In addition, Button provides employees with a 401(k) plan and automatically contributes 3% of an employee’s salary annually. We also want our employees to be well-rested and live balanced lives–Buttonians enjoy unlimited time off (including birthdays off) and periodic Mental Health Weeks which allow the entire company to take a breath and recharge, as well as an employee assistance program.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">For many of the health, vision, and dental insurance plans offered by Button, the company covers 100% of the premiums for employees and 75% for dependents. Button offers all employees and their dependents complimentary memberships to One Medical as well as a monthly stipend for mobile phone/internet and an annual lifestyle stipend. Button also offers employees in select markets “All Access” memberships to WeWork as well as regular “coworking days” and social events.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Most of all, Button offers our employees the opportunity to live our company values–Learn & Grow, Experiment, Adapt, and Deliver–and to be a part of an incredible team of humans working together to build a better internet, fueled by commerce.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Diversity & Inclusion:</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and believe being open about who we are allows us to do the best work of our lives.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Equal Opportunity Employer:</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
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