Company Overview

Totango + Catalyst have joined forces to build a leading customer growth platform that helps businesses protect and grow their revenue. Built by an experienced team of industry leaders, our software integrates with all the tools CS teams already use to provide one centralized view of customer data.  Our modern and intuitive dashboards help CS leaders develop impactful workflows and take the right actions to understand health, prevent churn, increase adoption, and drive expansion.

Position Overview

As a Senior Site Reliability Engineer at Totango + Catalyst, you will help shape our infrastructure and build the foundation our team relies on for the rapid delivery of our product. We’ll depend on you to instill best practices for building scalable distributed systems, emphasizing development experience, observability and fault tolerance. Our current stack consists of technologies such as Ruby on Rails, RDS, Elasticsearch, Java, and Kubernetes, and we are moving towards microservices and serverless.  If you thrive in a growth-stage startup environment and are looking for more ownership and the ability to have a significant impact, we would love to meet you.

This role is opened to candidates working remotely anywhere in Canada and the U.S.

What You’ll Do

• Manage our AWS infrastructure, with an emphasis on configuration as code.
• Keep our site and our services up and running, or get it back up and running quickly when a failure occurs
• Improve monitoring and work with developers to improve performance and reliability
• Participate in technical design reviews and architecture planning
• Debugging complex problems across an entire stack and creating solid solutions
• Collaborate with product managers and developers to evolve our delivery pipeline
• Working closely with internal partners and teams to ensure that we ship software that meets security, SLA, performance, and budget requirements
• Help build our on-call policies and runbooks
• Take ownership of projects and demonstrate a high level of accountability
• Manage our data infrastructure and pipeline
• Focus on quality, cost-effective scalability, and distributed system reliability and establish automated mechanisms

Who You Are:

• You are passionate about learning. Obstacles and challenges don’t deter you, you find these as opportunities to learn and grow.
• You have a positive demeanor and a go-getter attitude! 
• You are a strong team player. You collaborate well with others, and want to work together to solve common goals.
• You are proactive in seeking opportunities to learn and identifying opportunities to improve our processess. 

What You’ll Need

• 5+ years of experience building and maintaining cloud infrastructure for distributed production systems
• 1+ year of experience as a backend engineer developing enterprise web applications
• Excellent communication skills, both verbal and written
• Know your way around a Unix/Linux shell, can write shell scripts, and understands Linux internals
• Experience debugging complex problems
• Experience designing, building, and operating large-scale production systems
• Proficiency in Bash, Python, or other scripting languages
• Experience in databases and data warehouses
• Experience with security requirements for SOC2/ISO
• FinOps experience
• Strong Project Management skills
• A strong desire to show ownership of problems you identify
• Optional CKAD, CKS, CKA Exam, AWS Certified Exams

Technologies You’ll Need

• Demonstrated experience with configuration and orchestration tools such as Terraform, CloudFormation and Ansible
• Experience with containers, such as Docker 
• Experience with administering, securing, and optimizing Kubernetes clusters
• Experience building monitoring, observability, logging, and developer tooling
• Experience with Helm, Kustomize, ArgoCD, Grafana, Prometheus, Thanos, VictoriaMetrics, Cilium, Linkerd, Envoy, AWS App Mesh, CoreDNS
• Experience creating CI/CD Pipelines for different coding languages
• Experience with one or more: Ruby on Rails, Python, Java, Kotlin, Go, Node.js
• Experience with version control systems like GitHub
• Familiarity with AWS services, AWS best practices and securing AWS accounts
• Experience operating and tuning data stores such as PostgreSQL and Elasticsearch
• Experience with managing the infrastructure that backs data pipelines and data lakes such as Airflow
• Experience managing streaming infrastructure such as Kafka or Kinesis

Why You’ll Love Working Here!

• Work from anywhere!
• Highly competitive compensation package, including equity 
• Comprehensive benefits, including up to 100% paid medical, dental, & vision insurance coverage for you & your loved ones
• Open vacation policy, encouraging you to take the time you need
• Monthly Mental Health Days and Mental Health Weeks twice per year 
• Ability to influence and drive key technical and architectural decisions
• High visibility and impact across the whole company

Your base pay is one part of your total compensation package and is determined within a range. The base salary for this role is from $140,000.00 - $175,000.00 per year. We take into account numerous factors in deciding on compensation, such as experience, job-related skills, relevant education or training, and other business and organizational requirements. The salary range provided corresponds to the level at which this position has been defined.

Totango + Catalyst is an equal opportunity employer, meaning that we do not discriminate based on race, religion, national origin, gender identity, age, sexual orientation, or any other protected class. Diversity is more than just good intentions; we are committed to creating an inclusive environment for all employees

Narvar is growing! We are looking for a highly skilled and experienced Senior Software Engineer to join our Data Engineering team. In this role, you will lead, design and build data pipelines and systems that can efficiently store, process, and analyze large and complex datasets. 

Data products are at the heart of Narvar’s core business strategy and competitive advantage. The work you’ll do will impact Narvar’s whole business, our partners, and the lives of millions of consumers globally!

Narvar handles transactional data for more than 1200+ leading brands and retailers worldwide using our shipment tracking, returns, customer care, bidirectional multi-channel communication, and analytics products to transform their customers' post-purchase experiences.  

Day-to-day

• Develop and implement data pipelines and systems that can handle large volumes of data
• Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT. 
• Collaborate with data scientists and other teams to integrate data into business processes and decision making
• Maintain and optimize existing data systems for costs, ease of access, and data governance
• Improve data quality by building any tooling, testing, and observability pipelines.
• Stay up to date with the latest advances in data engineering and implement new technologies as needed.

What we're looking for

• Bachelors in Computer Science, Engineering or similar
• You have 7+ years of relevant experience 
• Proficiency with Java, Golang, Scala, or Python
• Strong knowledge of computer science fundamentals and data structures.
• Expert SQL skills.
• Hands-on experience building big data processing systems
• Experience with Cloud technology stacks (e.g., GCP or AWS and their product offerings)
• You have dealt with large amounts of data in production and have built distributed data processing using frameworks like Spark, Hadoop, Apache Beam, or Flink
• Experience with large-scale data warehousing architecture, data lakes, and data modeling
• Experience with Data Ops and data reliability
• Experience with error handling, data validation, dbt models.
• Previous startup experience strongly preferred

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-PR1

#LI-Hybrid

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role 

Instacart’s Core Data Engineering team plays a critical role in defining and maintaining company-wide datasets, standardized for uniform, reliable, timely and accurate insights from our data. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping our most critical data.

About the Team 

Core Data Engineering is part of the Infrastructure Engineering pillar, working closely with data engineers, data scientists and senior leaders across the company on developing and standardizing critical company-wide datasets. Our team also collaborates closely with other data infrastructure teams on designing and building key data platforms, systems and tools to make everyone at Instacart more productive with data.

About the Job 

• You will be part of a team with a large amount of ownership and autonomy.
• Large scope for company-level impact working on critical data.
• You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• You will ship high quality, scalable and robust solutions with a sense of urgency.
• You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

• 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
• Expert knowledge of SQL and Python.
• Experience building high quality ETL/ELT pipelines.
• Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with cross functional stakeholders on metric development, including data scientists, analysts, finance and senior leaders.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering OR equivalent work experience.
• Experience with Snowflake, dbt and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo or similar

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team

The Data Analytics Engineering team is responsible for developing and managing the core data platform for ratings infrastructure, architecting and implementing business-critical data solutions and pipelines, and enabling data-driven decisions within the organization and for our customers.

About the Role

As a Software Engineer (Backend) - you will work alongside outstanding engineers, refine requirements with product management and implement new products and features, focused on meeting the evolving needs of our customers. All team members actively participate in product definition, technical architecture review, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to ensure their needs are met.You will be working in a high-performance, fast-paced environment and contribute to an inclusive work environment.

Responsibilities:

• Collaborate with engineers to deliver projects from inception to successful execution
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share engineering support, release, and on-call responsibilities for an always-on 24x7 site
• Participate in Technical Design Review sessions, and have the ability to explain the various trade-offs made in decisions
• Maintain existing APIs and data pipelines, contribute to increasing code-coverage 
• Understand requirements, build business logic and ability to learn and quickly adopt for changing needs 
• Automate and improve existing processes to sustainably maintain the current features and pipelines
• Analyze our internal systems and processes and locate areas for improvement/automation

Requirements

• BS/MS in computer science or equivalent technical experience, and must have worked in Data engineering space for 2+ years
• Must have experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 
• Technical requirements:
• Must have experience in building and maintaining big data pipelines using Scala with Spark, Airflow, Hive, Presto, Redis
• Experience in developing batch/real-time data streams to create meaningful analytics
• Worked with NoSQL databases, preferably Clickhouse, Cassandra / Scylla; and SQL databases, preferably Postgres
• Worked with CI/CD pipelines using Jenkins
• Experience with cloud environments, preferably AWS
• Worked with variety of data (structured/unstructured), data formats (flat files, XML, JSON, relational, parquet)
• Worked in Agile methodology

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position. 

​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

• Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Implement and maintain data governance practices to ensure compliance, data security, and privacy.
• Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
• Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

• Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Overview

About the Role 

As a data analyst, you will be responsible for understanding and improving the quality of Instacart’s online grocery business. You will help set up scalable monitoring systems to understand our business performance for driving strategic decisions and help inform when operations or processes are broken. You will play a pivotal role in leveraging operational performance data to diagnose performance or user experience gaps in order to create data-driven recommendations to improve our product and processes. Your work will also entail supporting cross-functional data needs to facilitate improvements across multiple fronts.

About the Team 

The Platform Excellence Operations (PEO) team is dedicated to improving the quality of Instacart’s online grocery experience for our customers, shoppers, and retailers. The analytics team focuses on identifying, understanding, and eliminating defects in the online grocery experience by analyzing and interpreting operational data. The team ensures that stakeholders have a consistent understanding of why business performance is changing and advocates for improving poor experiences that may be overlooked. You’ll be part of a dynamic cross-functional team that collaborates closely with stakeholders to provide critical data insights to enhance our operations and overall customer experience.

As part of the Consumer Pillar within PEO Analytics, you will be working on problems anywhere between a customer landing on the homepage to when they contact Instacart for support after their order. Your goal is to make sense of how the customer uses Instacart and help the business understand where friction might occur in the shopping or contact funnel.

About the Job 

Metrics and Reporting 

• Work with XFN stakeholders to create 'source of truth' dashboards and future-proof, flexible dashboards.
• Monitor performance fluctuations and outliers in key performance metrics within the customer funnel to understand root causes and determine if corrective actions are required

Data Analysis

• Analyze large text and numerical datasets within search, browse, order, and post-order contact to derive business insights
• Design new data schemas matching business needs and link them to existing data for analysis
• Define structured frameworks to measure and track against qualitative top customer problems and opportunities)
• Independently create and execute analytical plans to identify, understand, and reduce known customer problems
• Provide support in sizing initiatives on product and analytical roadmaps

Presentations and Communication

• Create and present insights decks to a XFN audience of business leaders, Product Managers, Product Operations and engineers on a weekly cadence
• Approach problems with a solutions-oriented mindset by developing business cases with clear logical narratives backed by data that result in actionable recommendations

Leadership and Mentorship

• Help elevate the team’s technical acumen through mentorship and initiating learning opportunities
• Provide thought leadership to Pillar Lead when planning future strategic initiatives for the team 

About You

Minimum Qualifications

• 3+ years experience in a data analytics related role (e.g. data science, business intelligence, corporate strategy, consulting, etc)
• Experience analyzing and visualizing large datasets
• Ability to aggregate and synthesize large amounts of data and leverage a deep understanding of micro and macro fulfillment metrics and systems to drive insights
• Strong problem solving skills - able to quickly detect anomalies in performance metrics and trends, form hypothesis for investigation, and draw conclusions by conducting nuanced analysis
• Strong verbal and written communication skills, including the ability to lead meetings and synthesize complex topics by creating compelling narratives for various stakeholders
• Advanced proficiency of SQL and Excel / GSheets for data analysis
• Proficient with Powerpoint / GSlides for effective communication
• The ideal candidate will have a knack for identifying unusual patterns, a keen eye for detail, and is passionate about investigating problems to determine root causes.
• Effective prioritization and ability to balance quality and speed in a time constrained environment
• Ability to work independently with a strong sense of ownership
• Comfortable proposing new ideas to challenge the business and rally stakeholder champions behind it

Preferred Qualifications

• Experience working with consumer shopping funnel or post-order contact data
• Experience in optimizing data models and queries for performance
• Familiarity with: Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and Jira 
• Familiarity with Visualization Tools: Mode, Tableau, or similar
• Proficiency in Python or R for data analysis and visualizations
• Experience working directly with product/engineering teams on scalable process solutions

#LI-REMOTE

Senior Product Analyst

100% Remote (U.S. Based Only, Select States - See Below)

About the role

As a Senior Product Analyst, you will use hands-on proven data analysis skills to help contribute to StyleSeat’s Analytics function. You'll be deeply involved in driving decision-making across all aspects of the business, from exploratory analysis to better understand our customers, to building data pipelines that democratize a standard level of data across the company.

You will work closely with Product and Engineering teams to define and answer key questions, as well as enabling stakeholders & supporting a data-driven culture. This role will be fully embedded within a product squad (PM, Designer, QA, Engineers, and you - the Analyst), but also have the opportunity for personal growth by supporting other areas of the business as well: Customer Experience, Finance, Product Marketing, etc.

What you’ll do

• Lead the ideation and execution of product changes that drive growth, by partnering with Product, Engineering, Design, and Marketing
• Design A/B tests and analyze results to inform strategic decision-making & next steps
• Translate analytical insights into actionable recommendations for business and process improvements, presenting all the way up to senior leadership
• Design and assist in building analytical infrastructure (Reporting, Dashboards, Pipelines, and Analyses)
• Work with business stakeholders to recommend data standards and best practices to align the way we measure, think, and talk about our Product + Business
• Routinely communicate metrics, trends and other key indicators to Leadership
• Utilize your personal data-driven tendencies to explore your own curiosities within the data – going off the beaten path to identify areas for improvement + growth

Who you are 

Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for:

Main Responsibilities:

• 4+ years of relevant experience in product analytics/data science, or other quantitative disciplines
• Experience working with large datasets and an ability to write complex SQL queries
• Experience translating business objectives into actionable analyses, and explaining technical concepts and implications to a broad, non-technical audience
• Experience with data visualization tools/techniques (Tableau preferred, Looker, Quicksight, Amplitude, etc)
• Proficiency in designing/building data pipelines or using ETL tools
• Experience working directly embedded within product squads, going deep into the user problems or pain points and solving them with data

Nice to haves:

• Knowledgeable in one or more advanced data pipeline tools: Airflow, DBT, Hevo
• Experience with Python
• Experience in B2B2C marketplace, eCommerce, or B2C organization
• Experience at a startup or late-stage growth company

Some year 1 deliverables:

• Develop framework (reporting, metrics, dimensions) from the ground up for a central & rapidly growing area of the business – our Client experience
• Utilize said framework to generate insights and create active recommendations to inform our product roadmap ranging from impacts of current sprint to quarters away.
• Actively present findings & recommendations to not only product stakeholders but senior stakeholders across the organization, following up and ensuring they are actionable

Desired traits 

• Strong product mindset and knowledge, with the ability to drive roadmaps & PMs with data
• Curiosity - a natural drive to find out and explain why things happen.
• The ability to tell a story with data, and the ability to explain technical matters to less technical co-workers
• A strong and adaptable communicator who can ably interact with executives
• Ability to manage projects simultaneously while understanding which to prioritize alongside their stakeholder partners

Salary Range

Our job titles may span more than one career level. The career level we are targeting for this role has a base pay between $112,000 and $140,000.The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future. 

Who we are 

StyleSeat is the premier business platform for SMBs in the beauty and wellness industry to run and grow their business; and destination for consumers to discover, book and pay. To date, StyleSeat has powered more than 200 million appointments totaling over $12 billion in revenue for small businesses.StyleSeat is a platform and marketplace designed to support and promote the beauty and personal care community. 

Today, StyleSeat connects consumers with top-rated beauty professionals in their area for a variety of services, including hair styling, barbering, massage, waxing, and nail care, among others. Our platform ensures that Pros maximize their schedules and earnings by minimizing gaps and cancellations, effectively attracting and retaining clientele.

StyleSeat Culture & Values 

At StyleSeat, our team is committed to fostering a positive and inclusive work environment. We respect and value the unique perspectives, experiences, and skills of our team members and work to create opportunities for all to grow and succeed. 

• Diversity - We celebrate and welcome diversity in backgrounds, experiences, and perspectives. We believe in the importance of creating an inclusive work environment where everyone can thrive. 
• Curiosity- We are committed to fostering a culture of learning and growth. We ask questions, challenge assumptions, and explore new ideas. 
• Community - We are committed to making a positive impact on each, even when win-win-win scenarios are not always clear or possible in every decision. We strive to find solutions that benefit the community as a whole and drive our shared success.
• Transparency - We are committed to open, honest, and clear communication. We hold ourselves accountable for maintaining the trust of our customers and team.
• Entrepreneurship - We are self-driven big-picture thinkers - we move fast and pivot when necessary to achieve our goals. 

Applicant Note: 

StyleSeat is a fully remote, distributed workforce, however, we only have business entities established in the below list of states and, thus are unable to consider candidates who live in states not on this list for the time being. **Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

* Arizona

* Alabama

* California

* Colorado

* Florida

* Georgia

* Illinois

* Indiana

* Massachusetts

* Maryland

* Michigan

* Nebraska

* New York

* New Jersey 

* Ohio

* Oregon

* Pennsylvania

* Washington