Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking. 

We are looking for an experienced Senior Product Data Scientist to join our team. At BetterUp we believe that data is critical to our success. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.

What you’ll do:

• Work with our Product squads to ensure they have the data to make better decisions faster.
• Drive the A/B testing program and experimental design within your product domain, optimizing for rapid learning. 
• Build and optimize customer retention, acquisition funnel, and pricing models.
• Partner closely with engineering, providing guidance on instrumentation design for new features and creating new datasets that delight our business users. 
• Own the product-related Explores and dashboards in Looker, ensuring the continued accuracy of the data and building new dimensions/measures as they are needed.
• Partner with the Product team to identify KPIs, build standardized reporting to monitor product ecosystem health, and contribute to business reviews. 
• Conduct data deep dives to better understand drivers of business performance and proactively identify new areas of opportunity and risk. Present results and recommendations to cross-functional partners and the Executive Team.
• Evangelize the strategic use of analytics, educating business partners on how to self serve and interpret data, and working with them to translate insights into action.
• Play an integral role in helping define the analytics function at BetterUp.
• Report to the Director of Product Analytics and be fully embedded in a product squad.

If you have some or all of the following, please apply:

• Previous product analytics and A/B testing experience required, ideally in direct to consumer, e-commerce, and/or subscription e-commerce.
• Experience with building and optimizing customer retention, acquisition funnel, and pricing models.
• Strong proficiency in SQL, Looker/Tableau, and Amplitude; Python / R a plus.
• Exceptional written and oral communication skills, with the ability to translate complex results into clear strategic recommendations.
• A self-starter that can jump right in and quickly add value.
• A demonstrated ability to think like an owner and make effective prioritization decisions in a dynamic environment.
• A strong desire to be a builder of something new.

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $159,000 – $239,000.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

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Overview

The Foundations data science team–a small group inside of Instacart data science–is growing! The team’s remit is to work in partnership with Engineering by developing the statistical methodologies that fuel the analytic tooling used throughout Instacart for product experimentation.  

About the Role -We are looking for a staff level data scientist with expertise in experimentation, adaptive experiments, and causal inference to join us. This role will have enormous influence in two ways: First, this individual will help devise and develop the underlying methodologies used in tools by product analysts, data scientists, and engineers throughout the company. Decisions about the business will be made using the very tooling and methodology that this individual creates. Second, the individual will have substantial exposure to c-level stakeholders where their expertise in developing experimental systems and interpreting experimental findings will be a sought after resource. 

About the Team -The Foundations data science team at Instacart is responsible for developing and innovating world-class experimentation tools and causal inference measurement systems for use at scale. The team looks to combine the best of academic and industry practices to ensure that business decisions are made with the most accurate, reliable information. In addition, this team frequently consults throughout the greater Data Science org at Instacart to help solve the toughest problems.  

About the Job 

• Extend our A/B testing capabilities through the use of techniques such as developing sequential design functionality, incorporating smoothing designs, fractional factorial designs, etc.
• Work closely with Engineering to advise how to apply scientifically rigorous methods that function at scale
• Contribute to our adaptive experimentation initiatives (e.g., bandits) by helping to devise the strategy and roadmap for what we should build and why
• Serve the greater DS community at Instacart by consulting on a wide variety of challenging statistical topics
• Develop statistical best practices and evangelize on behalf of them
  
  

About You

Minimum Qualifications

• This is a very senior level position with an expectation of at least 8 years work experience
• Substantial previous work experience (~3 years) building experimental tools at scale on a major app/platform
• Expert in experimentation and causal inference techniques
• Strong communication skills; public speaking and presentation skills are highly desirable
• Desire to code every day in SQL/R/python
• Previous experience with dbt is a nice-to-have
• MA required, Ph.D preferred

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About the Role 

As a Staff Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Engineering, Product, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on crucial business functions like product success metrics and the product roadmap.

What You Will Do

• Partner with the product team to build on their success metrics and inform their roadmapping decisions
• Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
• Increase stakeholder use of data and data fluency through partnership and upskilling 
• Model first- and third-party data into analytics-ready tables that can be used across the business
• Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
• Conduct end-to-end projects to uncover insights and drive product engagement
• Own and collaborate on your own quarterly roadmap 
• Research and make recommendations on best practices for our data tech stack
• Partner with organizational leaders to impact Lattice’s strategy in the Talent space

What You Bring to the Table

• 5+ years of experience working in Data Science or Analytics, partnered with Product teams
• Experience at a B2B SaaS company
• Ability to distill ambiguous, open-ended questions into workable problems 
• A track record of collaboration with senior stakeholders 
• Deep expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis 
• History of successfully completing projects on time and within scope 
• Proven results designing metrics for cross-organization impact
• Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 
• Deep knowledge of SQL
• Knowledge of Python
• Experience with a BI tool such as Looker
• Knowledge of dbt
• Experience in the performance management industry

The estimated annual cash salary for this role is $144,500 - $225,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

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Who We Are

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. Our Internet and cloud intelligence platform delivers the only collectively powered view of the Internet, cloud, and SaaS platforms, helping enterprises and service providers work together to identify problems before it impacts revenue, damages brand reputation, or halts employee productivity.

In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within Cisco’s Network Services Business Group and is a foundational component of Cisco’s growing Observability business.

About The Team

ThousandEyes is the industry leader In digital experience monitoring, delivering visibility into the entire digital delivery chain. Our innovative solutions empower organizations with actionable insights into network performance, application behavior, and user experience across cloud, Internet, and enterprise networks. 

The applied research team is at the forefront of digital experience monitoring innovation. Using our extensive and unmatched data, we craft and refine new algorithms to unlock a holistic and end-to-end view of digital experience.

About The Role

We are seeking a Principal AI/ML to join our applied research team. In your role within the team, you will lead the integration of AI and ML technologies into our solutions. You will work alongside top-class networking researchers and data scientists to design and prototype novel solutions and help drive the evolution of intelligent networking products. Collaborating closely with top-tier engineering and product teams, you will then take your pioneering ideas from prototypes to full-scale production

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field
• Strong background in artificial intelligence, machine learning, and deep learning techniques
• Minimum of 3 years of hands-on experience developing innovative products utilizing AI/ML technologies (including scaling and deploying Machine Learning models)
• Experience with data preprocessing, feature engineering, and model evaluation
• Statistical and time series analysis expertise
• Strong programming skills, especially Python
• Proficiency in machine learning libraries and frameworks (TensorFlow, PyTorch, etc.)
• Experience with cloud computing platforms for deploying ML models (AWS, Azure, etc.)
• Proficiency in working with large-scale datasets (Spark, Hadoop, etc.) and uncovering insights

A plus if you have

• Knowledge of networking protocols (e.g., TCP/IP, UDP, DNS) and network architecture
• Proven industry experience applying AI/ML in networking products

Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. 

US – COMPENSATION RANGE – MESSAGE TO APPLICANTS

173400 USD - 322100  USD

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%. Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

About the role:

This Senior Data Scientist will measure, evaluate, and conduct measurements on our AI/ML systems. As a Senior Data Scientist, you will partner with ML scientists and engineers to develop methodologies to measure and evaluate our production models, conduct experiments to understand how new models compare to old ones and contribute to data-driven product development. You will work with other data-minded individuals to bring cutting-edge AI to our customers.

This role can be fully remote in Canada.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Develop metrics and methods to understand and develop our AI/ML systems.
• Run experiments and causal analyses to evaluate and launch new AI/ML features.
• Build relationships with technical and non-technical stakeholders to understand data structures and business priorities.
• Leverage technologies like SQL, Python, and/or R to shape and analyze data.
• Build a strong sense of product and data acumen (e.g. customer experience, data logging).
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is looking for aData Scientistto join a remote, cross functional agile team responsible for architecting and building a data platform to support a new Postal Service Health Benefits System. This role is pivotal in leveraging data-driven insights to shape the future of healthcare benefits, ensuring PSHBP stands as the most advanced health benefits system in the U.S. healthcare marketplace. Among other responsibilities, the person selected for this role will be responsible for analyzing data quality, supporting the delivery of the data platform, and developing and testing reports, dashboards, and analytics that drive business decisions.

We are posting this job in anticipation of a new project. Selected awardee of this contract is unknown at this time, however, we are proactively posting this job in anticipation of a possible award to Agile Six and a rapid start with a new project. As such, the responsibilities of this position may shift over time in response to the emerging needs of the project. With that consideration in mind, we are searching for someone dynamic, adaptable, and open minded who is passionate about data in many contexts. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

Responsibilities

• Work as part of a distributed/remote agile cross-functional team to support the design, development, and implementation of a robust data platform
• Conduct thorough data quality assessments to ensure the integrity and reliability of data within the PSHBP project
• Develop and refine dynamic reports, dashboards, and analytical tools to enable informed decision-making and support the project's goals
• Where applicable, apply advanced statistical analysis, machine learning techniques, and predictive modeling to extract actionable insights from complex datasets
• Communicate insights and findings to OPM stakeholders through a variety of media, including presentations, demonstrations, and written descriptions
• Ensure all customer-facing features, including reports and dashboards, adhere to the highest standards of accessibility and usability, in line with our commitment to a human-centered approach
• Participate actively in agile ceremonies, contributing to the team's continuous improvement and delivering high-value solutions to our federal agency partners
• Foster an environment of knowledge sharing, providing insights and training to enhance the team's data literacy and analytical capabilities
• Demonstrate the capacity to succeed in a remote work scenario, with the added communication challenges this poses
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment

Basic qualifications

• 7+ years of full-time experience as a Data Scientist or closely related role
• Proven experience in data analysis, statistical modeling, and predictive analytics
• Proficiency in programming languages and tools such as Python, R, SQL, Spark, and familiarity with visualization tools like Power BI
• Experience with data modeling: defining the schema/structure of data sets and the relationships between data sets
• Ability to prepare data for statistical modeling and an interest in building statistical and machine learning models
• Demonstrated ability to work collaboratively in agile, cross-functional teams
• Excellent communication skills, with the ability to translate complex data insights into actionable recommendations for both technical and non-technical stakeholders
• Experience with Git and GitHub or other source control systems
• Residence in and ability to work in the U.S. (unfortunately, we cannot support Visas at this time)
• Ability to pass a U.S. Government background investigation

Additional desired qualifications

• Advanced degree in Data Science, Statistics, Computer Science, or related field
• Experience working with government agencies
• U.S. Veteran

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $141,387 - $148,638

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not bossy), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role is required to work from the contiguous United States. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City. Employees within the New York Metropolitan area are expected to work from the NYC office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of this area are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC office increases productivity through more in-person collaboration where possible.

The Department: Service Fundamentals (Trust & Safety)

Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.

The Role: Senior Data Scientist

As a member of our Trust and Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

Responsibilities:

• Process, clean, and visualize data from complex databases and create top-notch reporting solutions
• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
• Design experimentation frameworks such as decision trees and A/B test models,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 
• Design, build and enhance dimensional models for BI solutions
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts, and perform data validation
• Tune SQL queries, reports, and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Minimum Qualifications:

• 5+ years experience in data analytics, strategy analytics or modeling role
• 5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)  
• Advanced skills with SQL are a must
• Proficient in Python
• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) 
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication
• This role may require on-call rotations

Preferred Qualifications:

• Proficient in Developing LookML
• Knowledge and experience of financial markets, banking or exchanges
• Experience working in small firms or start up technology first

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Annual Learning & Development stipend
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $136,000 - $170,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AH1