Location: Sydney
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers.
As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey.
WHAT YOU’LL DO
- Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work.
- Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction.
- Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt.
- Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work.
- Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed.
- Provide competitive and market intelligence specific to the APAC legal tech landscape.
- Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry.
WHAT YOU HAVE
You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet.
- Based in Sydney and eligible to work in Australia.
- Australian practising certificate (or equivalent common-law qualification).
- At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations.
- Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations.
- Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision.
- Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership.
- Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them.
ADDITIONAL INFORMATION
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role.
WHAT WE OFFER
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home.
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GW1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Stebby Sports Compensation or Confido Health Compensation.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Hybrid Work Flexibility.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Psychometric test
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
• Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
• Participation in our welfare investment and savings plan through our Provident Fund Scheme.
• Birthday and Loyalty benefits.
• Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview HR call
Task Assessment
Technical interview
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: San Francisco
Workplace: OnSite
🧠 ABOUT LEGION HEALTH
At Legion Health https://legionhealth.com, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.
Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.
Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.
Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.
Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.
📍 ROLE LOGISTICS
- Job Type: Full-Time
- Role Type: GTM Engineering / Revenue Systems / Provider Partnerships / AI Automation / Data & Attribution
- Ideal Experience Level: 5+ years, including 3+ years owning GTM systems, revenue automation, growth engineering, or technical RevOps
- Location: In-Person in San Francisco, CA
- US Visa Sponsorship: Yes
🚀 THE OPPORTUNITY
Legion is hiring a GTM Engineer to build the AI-native commercial and referral infrastructure behind our provider-partnership motion. Your systems will help us identify the right provider organizations, reach the right stakeholders, turn interest into referrals, and move referred patients into care quickly.
This is not a traditional RevOps or CRM administration job. You will own the technical architecture from market mapping and outbound through referral intake, attribution, eligibility, onboarding, and partner reporting. You will configure best-in-class tools when they are sufficient and write code or build integrations, agents, and internal products when they are not.
You will build both sides of our sales motion. From the bottom up, Legion needs a complete view of every clinic, location, physician, referral coordinator, and office leader in a market. From the top down, we need to map enterprise medical groups, centralized referral teams, executives, clinical leaders, and every stakeholder who can shape a partnership. The system should tell each representative who matters, why they matter, what happened last, and what to do next.
You will also engineer the path from referral to care. Referrals may arrive through fax, forms, APIs, tracked links, QR codes, phone calls, or patients who begin online after a provider recommendation. Regardless of channel, Legion must identify the source, resolve the provider and organization, preserve attribution, process the referral, initiate eligibility and onboarding, and synchronize the right data across our CRM, product, analytics, and patient-engagement systems.
The right person is a hands-on systems builder with strong product judgment. You should be comfortable choosing a CRM, modeling complex account hierarchies, writing SQL and lightweight production code, integrating APIs, deploying AI workflows, debugging failures, and partnering with sales, product, engineering, data, operations, clinical, compliance, and security teams. Over time, you will help turn provider partnerships into a secure product that makes Legion the easiest specialty care partner in the country: simple to refer patients to, easy to collaborate with, and consistently responsive.
✅ RESPONSIBILITIES AND DELIVERABLES
- Select and architect Legion’s provider-partnership CRM—whether HubSpot, Salesforce, Attio, or another AI-native platform—as the source of truth for organizations, locations, stakeholders, opportunities, referrals, ownership, and next actions.
- Design a durable account hierarchy that connects individual clinicians, clinic locations, care teams, medical groups, parent organizations, enterprise partnerships, and internal owners without losing history or context.
- Build a provider prospecting data layer using NPI and claims data, Definitive Healthcare or similar datasets, public sources, enrichment providers, and Legion’s internal data.
- Create account-scoring and territory systems that prioritize targets using geography, specialty, patient volume, payer mix, referral potential, network relationships, and engagement signals.
- Build coordinated outbound workflows across email, phone, LinkedIn, direct mail, events, lunch-and-learns, and field sales using tools such as Clay, Apollo, LinkedIn Sales Navigator, sequencing platforms, AI agents, and custom integrations.
- Map clinic-level champions and referral coordinators alongside enterprise executives, clinical leaders, operations leaders, and centralized referral teams so Legion can sell from the bottom up and the top down.
- Equip sales representatives with accurate contact data, office addresses, account briefs, relationship history, meeting preparation, follow-up automation, and clear next-best actions.
- Deploy AI-assisted workflows for account research, stakeholder discovery, enrichment, outreach drafting, call intelligence, CRM updates, and follow-up with appropriate evaluations and human review.
- Build an omnichannel referral-ingestion layer that turns fax, forms, APIs, tracked links, QR codes, phone calls, provider handoffs, and patients who begin online after a provider recommendation into structured, traceable records.
- Automate referral processing, including document extraction, provider and organization matching, deduplication, completeness checks, routing, exception handling, and audit trails.
- Connect referral intake to insurance eligibility and AI-native front-desk workflows for patient outreach, onboarding, and scheduling so referred patients reach the right next step without avoidable delays.
- Own end-to-end attribution across the referring clinician, clinic, parent organization, partnership, sales representative, campaign, channel, UTM, QR code, landing page, fax source, and downstream patient journey.
- Integrate the provider CRM, Legion’s database, the patient-facing CRM, PostHog, Braze or another lifecycle platform, analytics systems, and custom applications into one coherent data flow.
- Partner with product and engineering to build secure provider-facing dashboards and workflows for referral volume, referral status, time-to-contact, scheduling progress, coverage and copay information, and other authorized care-coordination information.
- Build compliant workflows that return medical records, care summaries, and status updates to referring care teams through approved fax, secure email, portal, interoperability, or other authorized channels at the right cadence.
- Create dashboards and operating reviews for market coverage, stakeholder penetration, outreach performance, pipeline, referral volume, conversion, speed to care, repeat referrals, partner expansion, and revenue impact.
- Own production reliability across monitoring, logging, retries, rate-limit handling, identity resolution, testing, versioning, access control, documentation, and recovery when systems fail.
- Treat HIPAA, PHI handling, minimum-necessary access, role-based permissions, audit trails, consent, and provider trust as product requirements in every automated workflow.
- Make disciplined build-versus-buy decisions, ship useful first versions quickly, and drive adoption through clear playbooks, training, and change management.
🏆 YOU’LL BE SUCCESSFUL IF YOU…
- Give Legion a provider CRM and data model that the team trusts as the source of truth.
- Create a complete, prioritized map of each market so representatives spend time with the right organizations and people.
- Build a repeatable outbound engine that produces qualified provider conversations and pipeline through coordinated digital, field, bottom-up, and top-down plays.
- Ensure every referral is captured, processed, routed, and attributed correctly regardless of how it arrives.
- Reduce the time from referral to eligibility, patient contact, onboarding, scheduling, and completed care.
- Give referring care teams a secure, useful experience that increases trust and repeat referrals.
- Remove repetitive research, data entry, document processing, routing, follow-up, and reporting work without sacrificing accuracy or judgment.
- Build reliable systems that sales and operations adopt, improve continuously, and measurably increase referral volume, conversion, speed to care, partner retention, and revenue.
🧰 IDEAL BACKGROUND AND SKILLS
- 5+ years in GTM engineering, revenue operations, sales operations, growth engineering, business systems, data engineering, internal tools, or another systems-building role close to revenue.
- 3+ years directly owning CRM architecture, GTM automation, data pipelines, outbound infrastructure, attribution, or technically complex revenue programs.
- Strong technical foundation: advanced SQL plus the ability to write and review production-quality Python, JavaScript, or TypeScript for integrations, automations, and internal tools.
- Deep CRM fluency in HubSpot, Salesforce, Attio, or similar, including objects, associations, account hierarchies, lifecycle stages, permissions, routing, reporting, deduplication, and data governance.
- Hands-on experience with APIs, webhooks, ETL or reverse ETL, event instrumentation, identity resolution, error handling, observability, and modern data warehouses.
- Practical fluency with modern GTM tools such as Clay, Apollo, Definitive Healthcare, LinkedIn Sales Navigator, Outreach, Salesloft, n8n, Make, Zapier, Workato, or equivalent platforms.
- Production experience with LLM-powered research, extraction, classification, routing, or agentic automation, including structured outputs, evaluations, monitoring, confidence thresholds, and human-in-the-loop review.
- Strong analytical judgment across funnels, attribution, pipeline, conversion, velocity, cohort analysis, experimentation, and revenue impact.
- Strong product sense and build-versus-buy judgment. You can turn a messy frontline problem into a coherent system that people trust and use.
- Strong preference for experience in healthcare, provider partnerships, referrals, physician networks, field sales, multi-location organizations, or another complex relationship-driven business.
- Healthcare and security judgment: disciplined access controls, auditability, minimum-necessary access and data use, consent, and close partnership with compliance and clinical leaders.
- Bonus: experience with eFax, referral management, EHR integrations, HL7, FHIR, eligibility, claims, provider directories, or NPI data.
- Excellent cross-functional communication. You can translate the needs of a sales representative, referral coordinator, operator, clinician, engineer, analyst, and executive into a system that works.
- Low ego, high ownership, and startup intensity. You can diagnose the bottleneck, design the solution, ship a useful version, measure the result, and improve it quickly.
💰 COMPENSATION & BENEFITS
- Salary: $140,000 – $260,000, based on experience
- Early-Stage Equity: Meaningful ownership in a category-defining company.
- Health Insurance: Medical, dental, and vision benefits
- Additional Perks: In-person retreats, meal stipends, GTM and revenue-systems tooling budget, learning stipend, AI tooling budget
- Time Off: Flexible, unlimited vacation policy
- Work Hours: Flexible, with responsiveness around high-impact launches or system issues
- Work Setup: In-Person in San Francisco, CA
- Impact: Build the technical system that turns partnerships into faster access to high-quality medical care for all.
- Autonomy and Learning: Own CRM architecture, provider data, outbound infrastructure, referral workflows, attribution, AI automation, reporting, and partner-facing systems end-to-end.
- Growth Opportunities: As Legion scales, this role can grow into Head of GTM Engineering, Head of Revenue Operations, or a broader product and growth leadership role.
📝 HOW TO APPLY AND HIRING PROCESS
- Apply here: https://jobs.ashbyhq.com/legionhealth/3a007cb1-faad-4854-a847-e4b77eaf3a42
- Overview of our hiring process:
1. Resume + Application Screen
2. Founder Interview
3. GTM + AI Systems Deep Dive
4. Professional Reference Checks
- Estimated time-to-hire: 2 weeks
- Start date: ASAP
- Hiring manager: Arthur MacWaters
🤝 EQUAL EMPLOYMENT OPPORTUNITY
Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.
Location: İstanbul, Türkiye
Workplace: remote
💻 About Kodland
Kodland is an international online education platform helping children and teenagers develop coding, mathematics, digital design, and future-ready technology skills.
Through live online classes and project-based learning, students gain practical digital skills while building confidence, creativity, and problem-solving abilities.
We are now looking for an experienced
Customer Service Specialist
to join our GCC team and support enrolled families throughout their journey with Kodland.
The internal title for this role is
Customer Service Manager (CSM)
. However, this is an individual-contributor position. You will manage customer relationships, requests, and cases—not a team of employees.
🎯 What Will You Do?
As a Customer Service Specialist, you will support parents and students from the moment they join Kodland and help ensure that their learning experience remains smooth, clear, and positive.
Your responsibilities will include:
Communicating with parents through phone, chat, and email
Welcoming newly enrolled families and helping them understand the next steps
Supporting customers with class access, schedules, logins, transfers, freezes, and general course-related questions
Following up with families when students miss lessons or stop attending regularly
Understanding the reason behind customer dissatisfaction and working toward a suitable solution
Handling complaints calmly and professionally
Managing refund requests and discussing possible alternatives with families
Negotiating installment and payment-related solutions within company policies
Responding to objections in a clear, empathetic, and solution-oriented way
Recording all customer interactions and case updates accurately in CRM and helpdesk systems
Coordinating with teaching, technical, finance, and operational teams when additional support is required
Taking ownership of each case until the customer receives a clear resolution
The main goal of this role is not only to answer questions, but also to protect the customer experience, rebuild trust when problems occur, and help families continue their learning journey with Kodland.
🕒 Working Model
This is a fully remote, full-time position.
40 working hours per week
Five working days and two days off
One weekend day is included in the working schedule
Work is organized through scheduled shifts
Regular attendance and reliability are essential
Because customers depend on timely support, employees are expected to follow their assigned schedules consistently and remain available during their working hours.
💰 Compensation
The compensation package consists of:
$185 fixed monthly salary
Up to
$50 monthly KPI bonus
The KPI bonus is based on measurable performance areas such as:
Customer satisfaction
Response and resolution time
Quality of communication
Accuracy of CRM and ticket updates
Successful handling of complaints and customer concerns
Compliance with internal processes
🧭 Training and Onboarding
Successful candidates will complete a structured onboarding and role-training process before managing customer cases independently.
The onboarding process generally includes:
Introduction to Kodland and the customer journey
Customer communication standards
CRM and helpdesk system training
Complaint and objection-handling practice
Refund and installment scenarios
Internal policies and operational processes
Practical cases and role-play sessions
Ongoing feedback and support will be provided by the Team Leader and the Customer Service team.
🚀 What Does Kodland Offer?
100% remote work
Experience in an international EdTech company
Structured onboarding and role training
Ongoing support and regular feedback
Experience with international customers and teams
Development in customer service, retention, negotiation, and operations
Internal career-growth opportunities for strong performers
Employee discounts on Kodland educational programmes
✅ Mandatory Requirements
Fluent Arabic and English communication skills
At least
1–2 years of professional customer service experience
Previous experience handling customers through calls, chat, or email
Practical experience with customer support or ticketing platforms such as:
Omnidesk
Zendesk
Freshdesk
Intercom
Or similar helpdesk systems
Practical experience with CRM systems such as:
amoCRM
Bitrix24
Salesforce
HubSpot
Or another comparable CRM platform
Strong written and verbal communication skills
Confidence in handling complaints and emotionally difficult conversations
Experience responding to customer objections
Ability to discuss refunds, cancellations, installments, and payment concerns professionally
Strong negotiation and problem-solving skills
Ability to remain calm, empathetic, and respectful under pressure
Strong organization and attention to detail
Ability to manage several customer cases and systems simultaneously
Ability to document customer interactions accurately
Availability to work full-time for 40 hours per week
Availability to work one weekend day
A personal laptop or computer suitable for remote work
Stable internet connection and a quiet working environment
Ability to commit to Kodland as the primary professional role
🌟 Experience That Will Be an Advantage
Experience in one or more of the following areas will be considered an advantage:
Customer retention
Refund prevention or cancellation handling
Billing and installment support
Complaint resolution
Customer success
Call centres
Subscription-based services
Online education or EdTech
Supporting parents or family-oriented customers
Working with customer satisfaction or response-time KPIs
Cross-functional coordination with finance, technical, or operations teams
🎯 You May Be a Strong Fit If:
You enjoy helping customers solve real problems
You can listen carefully and identify the concern behind a complaint
You understand that customer service also requires ownership and follow-up
You are comfortable discussing sensitive topics such as refunds and payments
You can protect the customer relationship without making unrealistic promises
You communicate confidently while remaining respectful and empathetic
You can work independently and stay organized in a remote environment
You are comfortable being evaluated through service-quality KPIs
You are looking for a stable role where you can build long-term experience
⚠️ This Role May Not Be Suitable for You If:
You prefer to transfer difficult cases instead of owning them until resolution
You are uncomfortable handling complaints, refunds, or payment discussions
You do not want to work on weekends
You find it difficult to follow fixed processes and document your work
You are looking for a temporary or short-term role
You have frequently changed jobs after very short periods and cannot clearly explain the reasons for those transitions
You are unable to commit consistently to a full-time remote schedule
We understand that career changes can happen for many valid reasons. Candidates should simply be prepared to explain short employment periods and demonstrate their interest in building a stable, long-term professional relationship with Kodland.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$605,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design, implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement. You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.
This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java17, JUnit5
Docker and Kubernetes
AWS, GCP, Azure
SQL, BigQuery
Bazel, BuildKite
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems
Demonstrated ability to write well-structured and performant code
Ability to lead software design to satisfy project requirements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like Buidkite
Bonus Skills
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Canada, Waterloo, ON
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer / Software Developer (React Native)
Build what’s next for players.
We’re a startup inside Sony PlayStation. Fast-moving, experimental, and highly ambitious. Backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to design at startup speed and drive huge impact inside the largest gaming company in the world.
We are seeking a Senior Software Engineer / Software Developer specializing in React Native and high-performance frontend development for mobile platforms. In this role, you will define the architecture, frameworks, and technical best practices.
You will collaborate closely with engineers, product, and design teams to deliver best-in-class user interfaces that are performant, accessible, and delightful at scale. As a Senior Engineer, you will provide technical leadership across teams, mentor engineers, and push the boundaries of what’s possible in cross-platform frontend development.
Responsibilities
Define and evolve the frontend architecture for client applications on mobile using React Native and modern JavaScript/TypeScript.
Drive performance optimizations and best practices for rendering, startup time, and UI responsiveness.
Design and integrate custom native modules (Native Android or Native iOS) and optimize cross-platform interoperability.
Partner with product managers, designers, and researchers to translate user experience requirements into elegant, maintainable solutions.
Establish coding standards, testing strategies, and development patterns that raise the quality bar for frontend engineering.
Mentor engineers and act as a multiplier for frontend development expertise across the broader team.
Investigate new frontend technologies, frameworks, and performance techniques, and guide their adoption when appropriate.
Represent frontend/OS needs in technical and architectural discussions.
Requirements
5+ years of software development experience, with significant experience building React Native apps or high-performance JavaScript/TypeScript applications.
BS/MS degree in Computer Science or equivalent.
Expertise in native Android development (Kotlin/Java/Gradle) and shipping applications to the Google Play Store.
Strong expertise in frontend performance profiling, optimization, and debugging.
Passion for delivering world-class user interfaces with exceptional performance.
Deep understanding of cross-platform architecture and how to bridge between JS and native modules.
Proven track record of delivering production-quality mobile or desktop applications with React Native.
Experience designing scalable frontend architectures and reusable UI frameworks.
Strong collaboration skills and ability to work closely with native engineers, designers, and product managers.
Demonstrated technical leadership: leading projects, mentoring engineers, or setting engineering strategy.
Bonus
A track record of building social, community, gaming, or other consumer products.
Familiarity with VoIP, call dialing and ringing flows in Android/React Native
Experience with accessibility, internationalization, and UI testing frameworks.
Familiarity with CI/CD pipelines and modern build systems for frontend development.
Previous experience at an early-stage startup or on a zero-to-one product team.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
The estimated Ontario base pay range for this role is listed below.
$141,900
—
$212,900 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Oakland, California, United States, AMER; USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design.
This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another.
This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership.
What you'll do
Lead the dbt product design team
You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft.
Own UX strategy for dbt
You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations.
Provide design direction for technical data products
You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences.
Shape AI and agentic product experiences
You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas.
Help integrate Fivetran and dbt Labs design
You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution.
Build an AI-native design operating model
You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement.
What we're looking for
Required experience
You have 8+ years of product design experience and at least 5 years managing product designers.
Strong people management skills, including coaching, performance development, direct feedback, and team culture building.
Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders.
Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer.
Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products.
Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow.
Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale.
Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens.
Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners.
Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$201,765
—
$252,206 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows.
WHAT YOU'LL DO
- Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.
- Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.
- Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience.
- Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI.
- Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.
- Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.
- Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.
- Travel may be required from time to time, including visits to customer office locations and company offices.
WHAT YOU HAVE
- Experienced background in asset management, banking or financial services or strategic customer success/account management experience, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects.
- Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.
- Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly
- Team players described as committed, collaborative and proactive with a team-first mentality.
WHAT WE OFFER
- A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.
- An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes.
- A collaborative work environment that promotes growth, learning, and development.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-JL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Mapbox US
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT WE DO
Mapbox is looking for a Senior Software Engineer to join our Security & Compliance team. As a member of our diverse and globally distributed team, you’ll help all Mapbox engineers build secure-by-default systems. Engineers on the Security & Compliance team build scanning and threat detection systems to monitor Mapbox’s cloud deployment (AWS-native, mainly container-based, 7 global regions including China) and other digital assets. They conduct risk assessments of new vendor integrations and product launches, and facilitate a bug bounty program that leverages the diverse expertise of a global community of security researchers. Lastly, they build and maintain core standards around security, quality, and privacy—reflected in our compliance certifications—and the automation to monitor and enforce these standards across Mapbox.
WHAT YOU'LL DO
We’re excited to share our passion for scalable, engineering-driven, security with you, and for your perspective to help shape our team’s goals. You will be responsible for contributing to, operating, and improving all things related to our security and compliance services. In this role, you can expect to:
- Conduct AWS security reviews (deep dive into our AWS environment to validate security best practices are being followed).
- Make security improvements recommendations and work with our production support teams to implement security improvement in AWS.
- Partner with the Lead Security Architect in fixing custom-built security tools bots.
- Conduct in-depth security reviews of application code, working closely with developers to code securely from the outset and address issues early during coding and testing phases.
- Partner with internal product teams to implement a secure-by-default design into their own products.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT FOR THIS ROLE
- Bachelor’s or higher degree in Computer Science or similar
- 5+ years of experience in product or application security and related software engineering roles
- Experience with AWS services like GuardDuty, CloudTrail log review, IAM, Security Groups, CloudFront, CloudFormation, S3, ECS, Lambda, DynamoDB and RDS.
- Proficiency in a programming language (e.g. Python, JavaScript or Node.js or TypeScript), testing practices, and documentation.
- Subject matter expertise in security best practices and the ability to quickly make correct risk assessments that prioritize the overall benefit to the company.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Comprehensive Healthcare: Private medical coverage for you and your dependents.
- Family-First Support: Generous maternity and paternity leave policies to support your growing family.
- Fertility & Family Building: Inclusive fertility support. Grow your family on your terms.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
- Invest & Grow: Retirement plans with competitive matching.
Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information.
By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here.
Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation https://drive.google.com/file/d/1rVYht6vc6QJmVzwML1rlh3BFboC-JkGe/view?usp=drive_link and Right to Work https://drive.google.com/file/d/1Pnzz1t8ueq8iPftJ7kqPOGoTnD5mqi0H/view?usp=drive_link posters for more information.
Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Location: chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus
We are seeking a US Equity Index Trader to join our US Options Trading team.
How you will make an impact
Actively trade US index and equity options, managing positions and risk.
Analyze market flows, volatility, and microstructure to identify and capture trading opportunities
Refine pricing, execution, and risk management approaches to improve trading performance
Conduct post-trade analysis to evaluate decisions, optimize strategies, and drive systematic improvements
Contribute to the development of tools, monitoring, and processes that enhance trading stability and scalability
Partner closely with risk management, researchers and developers during live trading and high-pressure situations
You will be right at home if you have
Proven experience as an Index Options Trader, with exposure to US markets or similar equity derivatives
Strong track record of trading performance and disciplined risk management
Deep understanding of options theory, volatility, and market microstructure
Comfortable trading both systematic and discretionary when required
Calm under pressure, with the ability to quickly diagnose and act on trading problems
Strong analytics, detail-oriented, and proactive in identifying improvements
Strong communicator who thrives in a collaborative, team-based environment
Passionate about markets, with a continuous drive to learn and improve
The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-AC]
Location: Northeastern USA; Remote (North America); Western USA
Position Overview
We are seeking physician editors to help us build the best learning platform in medical education. This position will be focused on reviewing and revising USMLE-style Step 1 and Step 2 practice questions and/or related topic summaries.
This is a fully remote, contract-based position.
What You’ll Do
We are looking for passionate physicians and medical educators to produce accurate world-class content to aid medical students in their education and prepare for their USMLE Step 1 and Step 2 exams.
Review and revise existing and newly drafted questions, and/or existing and newly drafted topic summaries, to conform to specific product guidelines, including adhering to standards for educational value, readability, and use of inclusive language.
Ensure assessment items and/or topic summaries are accurate, clinically realistic, and scoped appropriately to prepare for the Step 1 and Step 2 exams.
Work with the medical illustration team to create or collect images and figures that highlight important medical concepts or disease processes.
Attend team meetings as needed and regular check-ins with the writing team.
Identify and complete other tasks as needed.
What You Bring
Terminal medical degree, either MD or DO. (Required).
Successful completion of USMLE Step 1 and Step 2 exams (Required).
Board certification in a US-approved medical or surgical specialty or completion of at least two years of ACGME-accredited residency training. (Required).
Prior medical question writing experience is a plus.
Experience in formal medical education is a plus.
Familiarity with AI-enabled workflows is a plus.
Available to commit a
minimum of 10 hours per week of asynchronous work.
Excellent writing, editing, and copy-editing skills with close attention to detail.
Commitment to the organizational mission of transforming medical education to better serve educators and learners.
Who we are seeking
We are seeking a broad range of specialties including but not limited to internal medicine, family medicine, surgery, pediatrics, OB/GYN, neurology, psychiatry, cardiology, nephrology, infectious disease, hematology/oncology, endocrinology, gastroenterology, rheumatology, and pulmonology.
To Apply
Please go to
osmosis.org/careers
and submit the following by 8/31/26:
Resume
LinkedIn URL (optional)
Number of hours you can commit to on an average week
Please note: This is an
independent
contractor role
with an expected commitment of 10+ hours per week. The availability of work depends on project priorities.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Product team
The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision.
About the role
The Chief of Staff to the SVP of Product is the strategic thought partner and proxy to the leader. The role exists to scale the product leadership function: by anchoring on the leveraged people problems most central to the org, by owning the external product narrative end-to-end, and by being on point for strategic bets that need a single accountable owner (ex: AI enablement, special projects).
The end goal is a healthy Product org with pillar leads running independently at high quality, decisions made with less latency, and a clearer story about where Product is going, and why.
What you’ll do
Design and run the product leadership team’s rhythms (staff meetings, product reviews, all-teams, offsites): agenda architecture, pre-reads, decision capture, follow-through
Co-own the people rhythms with the HRBP across hiring, calibrations, performance, and talent reviews. Surface emergent structural risks (broken hiring funnels, attrition signals, single points of failure) with proactive solutions
Partners with Technology Operations function to define and improve processes for roadmap planning, driving prioritization decisions, setting annual OKRs and tracking progress to goals throughout the year
Own headcount planning and budget management alongside the Finance and HR Business Partners: annual planning, quarterly reforecasts, hire-prioritization tradeoffs
Drive AI retooling and enablement, including running internal AI masterclasses for leadership and natively embedding AI-enabled processes across the function
Curate the external product narrative (all-hands, written updates, major external talks): operate as a speechwriter, partnering with PR, comms, and brand
Prepare executive briefings and leadership communications, and reduce decision latency across the Product leadership team
Run a recurring org health pulse (engagement scores, regrettable attrition, leveling drift, manager effectiveness), escalating early signals before they become structural problems
What you’ll bring
10+ years in roles that built product credibility and strategic-narrative chops: strategy with deep product partnership, or a prior CoS role to a senior product or engineering executive at a high-growth tech company
A track record of running people processes at scale (hiring, calibrations, leveling, talent reviews) in a fast-growing organization
Exceptional written communication: you can ghostwrite, synthesize narrative from raw inputs, and draft a board page that holds up under scrutiny
Pattern-matching for organizational dysfunction: the muscle to spot a broken hiring funnel, a single point of failure, or a leadership gap before anyone names it
Comfort operating with influence and without authority across senior leaders in Product, Engineering, Design, Revenue, Finance, and HR
Strong analytical foundation and business acumen: fluent enough in product metrics, financials, and growth analytics to reason about tradeoffs without delegating every quantitative question
Why this role matters
Affirm’s next phase of growth depends on Product moving from a function powered by heroics to a function powered by a world-class operating system. The Chief of Staff is the linchpin of the strategic side of that change: the partner who helps make the strategy clear, the org stronger, and the leader’s leverage real.
Base Pay Grade
- S
Equity Grade
- USA11
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year:
$255,000 - $335,000
USA base pay range (all other U.S. states) per year:
$226,000 - $306,000
Please note that visa sponsorship is not available for this position.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Boston, MA, United States
This is a 3-month assignment.
THE ROLE: Associate Graphic Designer
Location: Boston, MA
The Boutiques Associate Graphic Designer is responsible for designing and developing digital and print assets to support the Rue La La & Gilt teams.
We’re looking for someone with the desire to be a part of something big, the training and foundation to create outstanding work daily, a sophisticated aesthetic sense and the interest to collaborate and succeed in a dynamic retail fashion environment. You’ll be joining a team that takes pride in the excellence of everything they do, all while respecting and protecting the integrity of the world-class brands featured on-site.
What you’ll accomplish…
Execute on-brand design demonstrating considered layout, image composition, typography, and a sophisticated use of color palette
Design a variety of assets for Boutiques, Marketing, and Acquisitions, including Boutique Main doors, advertising assets, and internal creative needs, from conceptualization through final approval
Work collaboratively and constructively on each project with other members on the team including Copywriters, Marketing Managers, Art Directors, Designers, and Brand Operations
Develop designs in a fast-paced environment without compromising quality, and be able to shift priorities based on changing calendars
About You:
At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you.
0-2 years of relevant work experience as a junior designer or as a designer in an agency or in-house creative group
Skilled with imaging applications such as Adobe Photoshop, Adobe Illustrator and Adobe InDesign
Experience creating and optimizing graphics for the web
Great, positive attitude – we are a highly collaborative and collegial team
Desire to learn new things and keep abreast of the world of fashion, style, design, retailing and ecommerce
A strong portfolio showing training and potential
BA in Graphic Design
Bonus points for…
Skills and experience with video applications such as Adobe Premiere Pro and Adobe After Effects are a plus
Any photography Art Direction experience
**We can’t wait to hear from you, so please submit your resume and portfolio for consideration. Submissions without portfolios will not be considered.**
Expected Base Salary Range: $26 per hour
Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward, and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, 401(k) participation, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated.
ABOUT US:
Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company.
Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate! World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it. Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake.
And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work? It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand.
Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications:
We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our
GDPR Applicant Privacy Notice
and
CCPA Applicant Privacy Notice
or contact us at recruitingcoordinator@ruegiltgroupe.com.
ГибридSydney
Tallinn, Estonia
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики