Manager, Forward Deployed Engineering - Public Sector
Senior Business Systems Analyst, Enterprise Planning (Pigment)
Sr. Solutions Architect
Director, Field Engineering - Financial Services
Manager, Forward Deployed Engineering - Public Sector
Data Analyst I
At Acorns, our mission is to look after the financial best interests of the up-and-coming, beginning with the empowering, proud step of micro-investing. How do we accomplish our mission? Our values.
Lead With Heart - With compassion, integrity, and tenacity, inspire yourself and others to move past all previous thresholds of possibility
Make Bold Decisions - We are creating a new world. Be optimistic, adventurous, and courageous. Leap fearlessly into the future
Always Build Trust - Say what you mean, mean what you say, and do what you say you’re going to do. We are all owners. We are one team
Never Stop Growing - Change IS the constant. Stay hungry and curious. Be relentless in the pursuit of progress
Find a way - Never settle, no excuses, nothing is impossible. Just make it happen
Our values guide us, and our mission drives us. Come join us and help deliver financial wellness for the whole family, putting the tools of wealth-making into everyone’s hands.
Data Analyst I | Acorns
Acorns is seeking a Data Analyst I to serve as a key partner for our Core Experience team, specifically focused on our Investing and Banking product lines. In this role, you will leverage data to optimize the customer journey, working at the intersection of Product, Finance, and Operations to ensure our core features deliver maximum value to our customers. You will play a vital role in shaping the product roadmap by transforming raw data into actionable insights that drive retention and enhance the overall customer experience.
Acorns is a remote-first organization, offering the flexibility to work remotely while providing optional access to office space in Irvine, CA.
What you will do at Acorns:
Collaborate with the Core Experience team to drive the ideation and rigorous analysis of product experiments.
Partner with Product, Finance, and Operations to build and maintain robust reports and dashboards specifically for our Core Experience product lines.
Write and optimize complex SQL queries to extract data from various sources for deep-dive analysis.
Utilize Databricks and DBT to transform raw data into clean, accessible datasets for the broader team.
Design and manage intuitive Tableau dashboards that track key performance indicators (KPIs) for Investing and Banking features.
Monitor customer behavior and product performance using Amplitude to identify opportunities for friction reduction and growth.
Work with managers and cross-functional teams to establish priorities, including new infrastructure and tool building.
What you will bring to Acorns:
3+ years of Analytics experience, preferably supporting product development or financial services.
Strong SQL skills for data extraction and experience with data visualization tools like Tableau.
A solid understanding of statistical concepts and hands-on experience of A/B testing methodologies and product experimentation.
Familiarity with modern data stack tools such as Databricks, DBT, and product analytics platforms like Amplitude.
The ability to translate complex numerical findings into clear, persuasive recommendations for non-technical stakeholders in Finance and Operations.
Hunger to deliver game-changing products.
Exceptional drive and precision in delivery.
A belief that your work is tied to your life's mission.
Optimistic about the potential of societal change.
What we offer:
Competitive salary and stock options
A comprehensive benefits package for you and your family
Flexible work location, hours, and paid time off
401(k) matching
Monthly Acorns account contribution & GoHenry account for your family
Mindfulness and Financial Wellness resources, Headspace and Addition Wealth
Acorns Career Development Program (Ongoing training sessions, development plans, development check-ins, Cornerstone’s online training platform)
Roots Leadership Program for Emerging Leaders
Community week onsite gatherings and various virtual events
Talented and motivated team members who care deeply about one another, our mission, and our customers.
The rare opportunity to create a new world. We inspire one another every day to do meaningful work that solves big societal challenges.
About Acorns:
Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company with multiple life-stage products serving the needs of kids, teens, adults, and parents. Named one of Time’s “World’s Best Brands of 2024,” Acorns has helped over 14 million people save & invest over $25 billion dollars, much of it from spare change and small amounts.
Compensation Information:
The pay range for this position at commencement of employment is expected to be between $121,000 and $140,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including equity grants, and discretionary cash bonus awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Work Authorization:
Acorns participates in E-Verify to confirm the employment eligibility of all newly hired employees. For more information about E-Verify, please visit
Sales Engineer (NYC)
Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest of the GTM team. You'll work on enterprise deals with the most technical buyers in the market, learn the full sales cycle from people who've built and sold to enterprises before, and grow fast.
Who this is for
Sales Engineers with a couple of years under their belt who want to level up. You've run demos, supported PoCs, and worked with AEs on real deals - now you want to do it at a startup where the deals are technical, and you can move fast without layers of process getting in the way.
You'll work directly with AEs, and the CRO on enterprise accounts. You'll run demos, scope PoCs, and own the technical side of deals - with support when you need it and room to grow into bigger deals as you prove yourself.
What you'll do
- Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won
- Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language
- Build custom demos, sample pipelines, and PoC environments that show real value
- Own product, technical, and security responses on RFPs and RFIs
- Support customers through evaluation, purchasing, and implementation
- Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers
- Feed product and engineering the signal from the field - what's winning, what's losing, and why
- Travel occasionally to customer sites, team offsites, and conferences
- Wear many hats - it's a startup, you'll touch every stage of the sales cycle
How you'll operate
- In-person from day one in Brooklyn, sitting next to the CEO and CMO
- Direct line to the CRO, co-founder, and product team - no layers
- Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
- Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka
Must have
- 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS company
- Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar
- Fluent in Python - you can read, write, and debug it in front of a customer
- Experience running demos and supporting PoCs in customer environments
- Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a VP of Data in the same conversation
- Builder mentality, process-oriented - you want to optimize and streamline boring processes. You write docs without being asked. You notice when a process is broken and propose a fix. You'd rather build an AI workflow to automate a repetitive task than do it manually three more times - and you have examples of doing exactly that
- High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls
- Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
- Based in NYC or willing to relocate
Nice to have
- Top university degree
- Experience selling to data teams (Data Engineers, Data Platform, CDOs)
- Familiarity with data quality, governance, or observability tools
- Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
- Experience at a high-growth Series A-C startup
- Experience building or presenting custom demos
- Base salary: $100,000-$130,000
- Equity
- Location: In-person, Brooklyn HQ
- Benefits: Unlimited PTO, 401k, medical insurance
Hiring process
- Phone screen interview
- Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
- Technical interview
- Culture fit with the CRO and Director of Customer Engineering
Sales Engineer (Remote)
Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team. You'll work on enterprise deals with the most technical buyers in the market, learn the full sales cycle from people who've built and sold to enterprises before, and grow fast.
Who this is for
Sales Engineers with a couple of years under their belt who want to level up. You've run demos, supported PoCs, and worked with AEs on real deals - now you want to do it at a startup where the deals are technical, and you can move fast without layers of process getting in the way.
You'll work directly with AEs, and the CRO on enterprise accounts. You'll run demos, scope PoCs, and own the technical side of deals - with support when you need it and room to grow into bigger deals as you prove yourself.
What you'll do
- Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won
- Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language
- Build custom demos, sample pipelines, and PoC environments that show real value
- Own product, technical, and security responses on RFPs and RFIs
- Support customers through evaluation, purchasing, and implementation
- Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers
- Feed product and engineering the signal from the field - what's winning, what's losing, and why
- Travel occasionally to customer sites, team offsites, and conferences
- Wear many hats - it's a startup, you'll touch every stage of the sales cycle
How you'll operate
- Direct line to the CRO, Director of CEs, and product team - no layers
- Ramp on Mid-market deals early, grow into enterprise as you prove yourself
- Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
- Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka
Must have
- 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS company
- Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar
- Fluent in Python - you can read, write, and debug it in front of a customer
- Experience running demos and supporting PoCs in customer environments
- Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a VP of Data in the same conversation
- Builder mentality, process-oriented - you want to optimize and streamline boring processes. You write docs without being asked. You notice when a process is broken and propose a fix. You'd rather build an AI workflow to automate a repetitive task than do it manually three more times - and you have examples of doing exactly that
- High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls
- Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
- Based in the US
Nice to have
- Top university degree
- Experience selling to data teams (Data Engineers, Data Platform, CDOs)
- Familiarity with data quality, governance, or observability tools
- Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
- Experience at a high-growth Series A-C startup
- Experience building or presenting custom demos
- Experience working remotely in a high-growth environment
- Base salary: $100,000-$130,000
- Equity
- Location: Remote (US-based)
- Benefits: Unlimited PTO, 401k, medical insurance
Hiring process
- Phone screen interview
- Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
- Technical interview
- Culture fit with the CRO and Director of Customer Engineering
Senior Data Engineer II
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About The Role
The data and AI team is a critical function within Business Technology. Our mission is to enable integrated data layers for all of Samsara with the insights, tools, infrastructure to make data-driven decisions. We are a growing team that loves all things data — composed of data engineers, AI engineers, architects, analysts, and data scientists.
We are looking for a Senior Data Engineer II who brings a software engineer's mindset to data infrastructure. This isn't just a pipeline-builder role — we're looking for someone who thinks in systems, builds platforms others can extend, and is excited about pushing the boundaries of what data engineering looks like in an AI-first world. You'll manage data APIs, architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent tooling including MCP servers and AI agents that automate and accelerate data engineering workflows.
Our team promotes an agile, collaborative, and supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.
This role is open to candidates residing in the US and Canada except the San Francisco Bay Area and New York Metro City.
You Should Apply If
- You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development and mastery in a hyper-growth environment.
- You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas.
- You want to build platforms, not just pipelines: You think about data infrastructure as a product, care deeply about developer experience, and want to shape how an engineering team works with data at scale.
- You're excited about AI-augmented engineering: You want to be at the frontier of how AI agents and intelligent tooling change the way data engineers work.
Data Engineering
- Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics.
- Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data.
- Manage critical data pipelines to enable growth initiatives and advanced analytics.
- Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake.
- Develop and improve data architecture, data quality, monitoring, observability, and data availability.
- Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams.
- Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments.
- Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency.
- Design, build, and manage data APIs in python using frameworks such as FastAPI.
- Manage API runtime in AWS ecosystems- Lambda and RDS.
- Monitor and optimize API , track observability via tools such as Data Dog or Splunk.
- Production Support - participate in on-call rotations and act as technical escalation point of contact for data quality issues , API uptimes etc.
- Define and enforce data engineering standards, patterns, and best practices across the team.
- Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes.
- Collaborate with platform and infrastructure teams to evolve the underlying architecture of Samsara's enterprise data ecosystem.
- Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models and internal tooling.
- Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle.
- Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work.
- 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.
- Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams.
- Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
- Lead end-to-end projects as the central point of contact for stakeholders.
- Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program.
- 10+ years of work experience as a Software Engineer with data focus or as Data Engineer.
- 8+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling.
- 5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning.
- 3+ years of hands-on experience developing and managing APIs, preferably in python.
- Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg).
- Exposure to ETL tools such as Fivetran, DBT, or equivalent.
- API experience: Python-based API frameworks , API management tools.
- RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent.
- Cloud: AWS, Azure, and/or GCP.
- Designing and governing a centralized semantic layer for reliable AI and analytics
- Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch, or equivalent.
- AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, SecretsManager.
Annual Base Salary
$134,470—$203,400 USD
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Systems Specialist, Lifecycle Marketing
Superhuman offers a dynamic hybrid model, and candidates in this role can be based remotely. You may be expected to travel to meet in person during your team’s scheduled collaboration weeks. Managers will determine in-person time according to business needs.
This hybrid approach helps foster trust, innovation, and a strong team culture, with the flexibility of working from home, whenever you need focus time.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Superhuman Docs’ collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
Build Love 💜:
At Superhuman, we have a deep understanding of how to build products that people love. We incorporate fun and play, infusing magic and joy to create experiences that amaze and delight. It all starts with the right team — a team that deeply cares about values, customers, and each other.
Create Massive Impact 🚀:
Our lifecycle marketing engine runs on a foundation of reliable, well-maintained systems. The data pipelines, sync configurations, and technical integrations that power our campaigns don’t manage themselves — and getting them right directly affects how we reach and retain millions of users. This role sits at that foundation, keeping it solid so the broader team can move fast and build with confidence.
The Opportunity
As Lifecycle Marketing Systems Specialist, you will serve as a technical generalist and hands-on executor within Superhuman’s Lifecycle Marketing Operations team, reporting to the Senior Manager, Marketing Systems Architecture.
This is a high-execution, detail-oriented role for someone who thrives in the weeds of martech systems — someone who finds satisfaction in keeping complex platforms running cleanly, resolving the technical friction that slows teams down, and being the connective tissue between marketing and engineering. You won’t just support programs — you’ll own the operational infrastructure that makes them possible and have the opportunity to build your own solutions leveraging the latest AI technologies. .
You’ll take on the day-to-day technical work that keeps our lifecycle systems healthy and our teams unblocked, freeing up senior capacity for strategic and product-level work.
In this role, you will:
Act as the technical backbone of the lifecycle marketing operations function, owning platform administration and day-to-day execution across martech systems
Administer and maintain Hightouch as the primary reverse ETL platform — including managing parent models, building and updating audience syncs, reviewing and approving sync requests, and ensuring sync health across destinations
Serve as the first line of support for martech systems issues, triaging problems, diagnosing root causes, and either resolving them directly or escalating with clear context to engineering
Partner with engineering and marketing teams to support technical implementations — translating requirements between stakeholders, coordinating handoffs, and helping drive work to completion
Monitor sync performance and pipeline integrity, proactively catching failures, data inconsistencies, or configuration drift before they impact campaigns
Maintain and document platform configurations, data models, and operational processes, ensuring the team has reliable references as systems evolve
Manage access, permissions, and governance across martech platforms, keeping configurations clean and auditable
Support audience segmentation and data hygiene work in partnership with Data and Lifecycle teams
Assist with QA and testing for new integrations, campaign launches, and platform changes, helping catch issues before they hit production
Identify and flag operational inefficiencies, contributing ideas for process improvement and automation opportunities
Contribute to our team’s evolution by building with AI
Qualifications
2–4 years of experience in marketing operations, marketing technology, or a related technical role
Hands-on experience with reverse ETL or data activation platforms — Hightouch or similar tools (Census, ActionIQ, etc) experience strongly preferred
Comfortable working directly with data and audiences in a warehouse-connected environment (Databricks, Snowflake, BigQuery, or similar)
Basic to intermediate SQL skills — able to read, modify, and troubleshoot queries without needing to write complex models from scratch
Strong systems thinker who can follow a data flow end-to-end and identify where things are breaking down
Able to communicate technical context clearly across engineering and marketing audiences — you know how to translate
Detail-oriented with a track record of catching issues before they become incidents
Experience with marketing automation platforms (Iterable, Braze, Marketo, or similar)
Familiarity with event streaming concepts (how data flows from product events into marketing platforms) is a plus
Comfortable in a fast-moving environment where priorities shift and ambiguity is part of the job
Bonus: Has demonstrated the ability to build solutions with AI applications like Claude
Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
Annual professional development budget and opportunities
Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined by compensation zone and may be modified in the future.
We encourage you to apply
At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
The full posting opens here — pay, setting and the full description, without leaving the list.