You could work anywhere. Why Figment? Figment powers the future of Web3 through industry-leading blockchain infrastructure. As the leading provider of staking solutions, we help 500+ institutional clients optimize their crypto rewards, including top exchanges, asset managers, wallets, foundations, custodians, and major token holders. Our clients trust Figment for a comprehensive suite of services, including reward optimization, cutting-edge API development, detailed rewards reporting, seamless partner integrations, governance support, and slashing protection. Backed by a team of passionate and intelligent Figmates, with a 100% remote-first global presence across 12 countries, our company is on a mission to accelerate the adoption, growth, and long-term success of the Web3 ecosystem. We’re building the infrastructure that will power the decentralized future. As a fast-growing tech company, we’re looking for builders and innovators — people who thrive in the face of uncertainty and are motivated to make an impact. We are also looking for true teammates - people who are genuine, humble, and driven to level up together. If you're excited to shape the future, contribute to an energetic company culture, and work at the cutting edge of blockchain technology, we want you to join our team and help us lead the charge!About the opportunity We are seeking an experienced Go developer to build tooling as it relates to collecting, ingesting, integrating, processing, transforming, storing, managing, monitoring, and optimizing blockchain data. The Data Availability team delivers big data extraction and processing solutions with highly available APIs. We're looking for someone who can learn new blockchain data structures and contribute to Figment's data processing infrastructure. This is a full-time remote position, with team members in North America and Europe. This role is unique because you get to work with many new blockchains and deliver blazingly fast APIs on huge amounts of data. This work helps people around the world to foster Web3 technologies. If you enjoy figuring out how new blockchains work and love solving distributed data processing problems, then this role may be a good fit for you. Ideal candidates are comfortable working in an unstructured environment, dealing with uncertainty, minimal direction, and working across a range of projects. How you will make an impact

Create high performance indexing software to ingest data from blockchains or ingest data from other sources in Go. Full responsibility for technical architecting and team processes. Work closely with other various business units to prioritize deliverables and set timelines. Technical decisions between different engineering approaches and explain them to the others on the team and achieve buy-in on your proposal. Process big data collections and design fast-read data storages. Design and implement HA APIs for large blockchain datasets. Designing next generation data pipelines. Serve as a mentor for junior team members.

Who you are

Proven extensive experience in software engineering and distributed systems Ability to write production-ready applications in Go Ability to reason about tradeoffs between different engineering approaches Familiar with data storage solutions (SQL/noSQL databases) Familiar with containerized infrastructure (Docker, Kubernetes) Results oriented individual with a high EQ and attention to detail. Architecting your own solutions for significant problems, factoring in maintenance, scalability and security concerns to your solution approach. Familiar with team processes based on agile methodology A collaborative approach to sharing ideas and finding innovative solutions Improve overall productivity and unblock team members through technical leadership, mentorship and leading by example.

Even better if you have

Blockchain knowledge Experience working in a Data team, with data processing or any industry-standard Data tools such as Snowflake, Dagster, DBT, etc AWS or other Cloud Infrastructure experience

Technologies we use

Go, Snowflake, DBT, Dagster

Teams you’ll collaborate with most often This role will collaborate most often with our Data Science and API teams. Don't meet all of the qualifications? There is research that indicates that marginalized groups often feel the need to meet 100% of the qualifications before applying for a position. However, we believe that diverse experiences and perspectives are what make teams stronger. If you meet the majority of the qualifications listed here, are passionate about the role and excited to contribute but don’t tick every single box, we still want to hear from you.

Why you might be excited about us At Figment, we offer an exciting range of competitive benefits designed to support and empower every member of our team:

100% remote-first environment. Our flagship office is in Toronto, Canada. We also have additional co-working spaces in New York, Montreal, London, and Singapore. That means if you want to do your things in the office (if you’re near one), at home, or a bit of both, it’s up to you. 4 weeks of PTO that kick in day one, with an additional 1 week of flex days. Extended company-paid health benefits that kick in day one. Best in class parental leave and flexible arrangements. A home office stipend to create a space that you enjoy working in. Monthly Wifi reimbursement. A yearly Learning & Development budget. 401K (US) or RRSP match (Canada). Stock Options in the company. A competitive bonus (based on company performance) that is distributed bi-annually - we believe that the company’s success should be shared with our employees often

For roles listed within the Sales Department, there is instead a competitive commissions structure which will be outlined during your first interview with Figment

Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!

Other reasons you may love working at Figment

We are a team of under 200 members, which allows for an impactful contribution from day one. We place a strong focus on personal career development to shape a role that fits your goals and interests. Your satisfaction and well-being matter to us, and we’re here to support your ongoing growth. Our culture is one of honesty, professionalism and risk taking in a high-growth environment. Our team members themselves recommend working at Figment - with an eNPS score of 54 (which is ranked as ‘great’!). We are also extremely proud of ranking as one of the top Web3 employers by Talent Titans.

Compensation One of Figment’s core principles is “Making the Invisible Visible” - ensuring transparency and information sharing in all communication. Figment is committed to transparency regarding pay, benefits, and other compensation types for all internal roles as well as all roles being hired for. Base Salary: The CAD base salary range for this position is CAD $140,000 - $170,000. The US base salary range for this position is USD $140,000 - $170,000. This range reflects base salary only, and does not include additional compensation or benefits. For candidates in other countries, the pay range will be disclosed upon your first interview with Figment (being a globally remote company, the list of salary ranges would simply be too long to note here!). The range displayed reflects the minimum and maximum range for a new hire across all Canada or the US. A candidate’s specific pay within the range will be determined by various factors including job-related skills, relevant education, and training. Interview process At Figment, we try to go above and beyond in making sure that you have the best possible experience interviewing with us. We strive for a smooth, organized, and informative process.

During your first Recruiter Call, you will be provided with more information about Figment, the position and what to expect for the rest of the interview process. Please be prepared to discuss why you are interested in joining Figment and what excites you about the position and company. As we go through the process, we work to make sure that you hear back from us in a timely fashion. If we decide at any point that we’re unfortunately not moving forward, we will give you feedback on why it was not a fit. We aim for the entire process to take around 2-3 weeks from initial screen to offer. There can be exceptions on either side of the bell curve here, but as a rule, that’s the time-frame you can expect.

See here for Figment's Privacy Policy and California Employee Privacy Policy. At Figment, we have a thorough hiring process to verify the identity of all job candidates. This includes checking documents, conducting in-person interviews, biometric authentication and completing background checks. Candidates must pass all these steps to be considered for a job with Figment. Anyone who provides false information or tries to skip these steps will be disqualified from the hiring process immediately. To learn more about Figment, our team, and the amazing work we are doing, visit our website. Are you ready to join us?

Apply Now:

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will support initiatives end to end with software, data & machine learning engineering.

What you'll do:

• Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
• Contribute scalable solutions across various serving stacks at the machine learning service and application layers.
• Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
• Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience.
• Define and advance our technical approach to scalable machine learning.

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Software Engineer, Machine Learning you should have 5+ years of experience, plus:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
• Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
• Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
• Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
• Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
• Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
• Professionalism around collaborating in a remote working environment and well tested, reproducible work.
• Exceptional documentation and communication skills.

🎁 Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
  • $1,000 home office setup allowance
  • $150 monthly allowance for cell phone and internet

• Care benefits
  • $450 monthly allowance on food
  • $500 monthly allowance for wellness
  • $5,000 annual allowance towards Childcare
  • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Parental Leave
  • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Apply Now: