Location: Atlanta, Georgia
Workplace: Remote
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy.
You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.
WHAT YOU'LL ACHIEVE
- Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline.
- Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path.
- Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate.
- Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps.
- Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.
SKILLS YOU'LL NEED TO BRING
- 8–15+ years of experience selling technical products to technical buyers
- Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles.
- Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room.
- AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working.
- Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria.
- Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve.
- Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles.
NICE TO HAVES
- Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions.
- Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals.
- Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software.
- Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in Atlanta, GA, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $288,000 - $326,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy.
You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.
WHAT YOU'LL ACHIEVE
- Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline.
- Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path.
- Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate.
- Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps.
- Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.
SKILLS YOU'LL NEED TO BRING
- 8–15+ years of full-cycle, quota-carrying experience selling enterprise software, with a proven record of closing large, complex deals.
- Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles.
- Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room.
- AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working.
- Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria.
- Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve.
- Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles.
NICE TO HAVES
- Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions.
- Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals.
- Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software.
- Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $306,000 - $390,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Munich
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 skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective.
Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.
Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.
WHAT YOU’LL DO
- Engage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them.
- Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).
- Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.
- Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types.
- Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.
- Tailor the introduction of new solutions to specific customer needs.
- Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs.
- Conduct research and analysis on customers and competitors.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- Fluent in German and English.
- At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a transactional, in-house or transformation experience.
- Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
- Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Strong understanding of legal processes and challenges faced by legal professionals.
- Curiosity about AI’s potential to transform the legal industry.
- Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.
ADDITIONAL INFORMATION FOR POSTINGS
- Location: Germany
- Work eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this role
WHAT WE OFFER
- Be part of building something special as a founding member of our Germany team
- Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth
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-RC1
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: 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: Atlanta, United States; Raleigh, United States; Philadelphia, United States; Tampa, United States; Baltimore, United States
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 5 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech experience is preferred
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Mexico City, Mexico; Guadalajara, Mexico; Monterrey, Mexico
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 5 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech experience is preferred
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
International Environment
Working on the latest tech for the Insurtech Market Leader
Competitive remuneration package
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer at CoverGo, you will play a pivotal role in driving the technical direction and execution of our innovative insurance enterprise software solutions. Lead and mentor a team of talented engineers, guiding them through the design, development, and maintenance of our SaaS platform. Collaborate closely with stakeholders to understand business requirements, architect scalable solutions, and ensure the delivery of high-quality software. Stay abreast of emerging technologies, advocate for best practices, and foster a culture of innovation and excellence within the engineering team.
What You Will Do
Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements.
Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing.
Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility.
Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform.
Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation.
Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance.
Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures.
Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate.
What We Need
Demonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applications.
Extensive hands-on experience with Full Stack development using Node.js and related technologies, with a minimum of 8 years of relevant experience.
Proficiency in front-end and back-end technologies such as Node.js, Vue.js, GraphQL, MongoDB, Docker, and TypeScript.
Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applications.
In-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation tools.
Solid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their application.
Thorough understanding of web security best practices and experience in implementing security measures and ensuring compliance with industry regulations.
Familiarity with container technologies like Docker and proficiency in cloud infrastructure and solutions.
Experience with Nest.js is a plus.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Proven ability to prioritize and manage multiple projects simultaneously, with a proactive and results-oriented approach.
Passion for continuous learning and professional development, with a keen interest in staying updated with emerging technologies and industry trends.
Why You'll Love Working Here
Hybrid Work Model
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Health Insurance
Stock Options after 6 months
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform.
What You Will Do
Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team.
Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices.
Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience.
Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience.
Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality.
Investigate and promptly address bugs to uphold platform reliability.
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations.
Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative.
Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows.
Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives.
What We Need
Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications.
Minimum 2 years in a lead/manager role, able to guide and ensure development of teams
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
International Environment
Competitive remuneration package
Hybrid Work Model for those in Ho Chi Minh City; Remote working for those outside Ho Chi Minh City
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Stock Options after 6 months
Health Insurance
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
VP of Research (Machine Learning)
to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage.
Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact.
Key Responsibilities
Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models.
Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics.
Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development.
Drive research and experimentation across advanced machine learning techniques, including:
Retrieval-Augmented Training (RAG)
Mixture of Experts (MoE)
Model Distillation
Multi-Agent Orchestration
Multimodal AI Systems
Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications.
Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization.
Requirements
Extensive experience designing, building, and deploying machine learning systems in production environments.
Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance.
Proven ability to translate advanced research into reliable, production-ready AI solutions.
Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments.
Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability.
Strong ownership mindset with the ability to lead technical strategy and execution.
Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Technical Lead, Machine Learning
to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance.
Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost.
Key Responsibilities
Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment.
Fine-tune and optimize models using modern techniques such as
LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation
.
Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies.
Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products.
Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization.
Requirements
Proven experience building and deploying production-grade machine learning systems used by real users.
Strong expertise working with large language models and understanding model behavior, limitations, and failure modes.
Experience developing scalable ML infrastructure, training pipelines, and inference systems.
Strong software engineering skills with the ability to write maintainable, production-quality code.
Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety.
Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment.
Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Senior Machine Learning Engineer
to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
Build and develop core machine learning systems that power AI-driven product capabilities.
Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
Translate research concepts into reliable, production-ready machine learning solutions.
Investigate and resolve model performance issues and production system failures using real-world operational insights.
Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
Proven experience building and deploying production machine learning systems used by real users.
Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
Experience designing and implementing scalable machine learning pipelines and infrastructure.
Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Principal Machine Learning Engineer
to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure.
Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints.
Key Responsibilities
Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment.
Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation.
Design and operate scalable inference systems while balancing latency, cost, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications.
Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety.
Requirements
Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production.
Proficiency with modern machine learning frameworks such as
PyTorch
or
JAX
.
Experience with distributed training and inference frameworks, including technologies such as
DeepSpeed, FSDP, Megatron, ZeRO, or Ray
.
Strong software engineering skills with experience building robust, maintainable, production-grade systems.
Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision.
Ability to independently own end-to-end machine learning systems in fast-moving environments.
Strong problem-solving skills with a focus on rapid iteration and continuous improvement.
Preferred Qualifications
Experience with one or more of the following is preferred:
LLM inference frameworks such as
vLLM, TensorRT-LLM, or FasterTransformer
Open-source contributions to machine learning or systems libraries
Scientific computing, compiler technologies, or GPU kernel development
Reinforcement Learning from Human Feedback (RLHF) pipelines, including
PPO, DPO, or ORPO
Training or deploying multimodal or diffusion models
Large-scale data processing frameworks such as
Apache Arrow, Spark, or Ray
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking an
iOS Software Engineer
to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions.
Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience.
Key Responsibilities
Build and maintain production iOS applications using
Swift
and
SwiftUI
.
Integrate AI-powered features through backend APIs.
Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms.
Optimize application performance, memory usage, and battery efficiency.
Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement.
Collaborate closely with backend and machine learning engineers on API design and system behavior.
Maintain high standards of application quality, stability, and reliability for App Store releases.
Requirements
Minimum
3 years of iOS development experience
using Swift.
Hands-on experience integrating AI-powered features into mobile applications.
Strong understanding of
async/await
, concurrency, and background task management.
Solid experience optimizing iOS application performance, memory usage, and responsiveness.
Experience developing, releasing, and maintaining production iOS applications.
Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior.
Exposure to
CoreML
or lightweight on-device machine learning is an advantage.
Familiarity with feature flags or remote configuration systems is preferred.
Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust.
Preferred Technical Skills
Experience with the following technologies is preferred:
Swift
SwiftUI
Swift Package Manager (SPM)
SQL and NoSQL databases
TensorFlow Lite (on-device inference)
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is looking for a
Full Stack Engineer – AI Systems
to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric.
Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications.
Key Responsibilities
Build end-to-end product features across frontend, backend, and AI integrations.
Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps.
Integrate LLMs, memory systems, and external tools into scalable, production-grade applications.
Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance.
Improve system reliability, observability, and fallback mechanisms for AI-powered features.
Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production.
Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage.
Requirements
Strong experience in full stack software engineering across frontend and backend development.
Solid understanding of system design, scalable architecture, and API development.
Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies.
Ability to work effectively in fast-paced environments with evolving requirements.
Strong ownership mindset with experience delivering features from ideation through production deployment.
Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations.
Preferred Technical Skills
Experience with some or all of the following technologies is preferred:
Next.js
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking an
Android Software Engineer
to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions.
Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience.
Key Responsibilities
Build and maintain production Android applications using
Kotlin
.
Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs.
Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results.
Optimize application performance, memory usage, and responsiveness for AI-intensive workflows.
Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement.
Collaborate closely with backend and machine learning engineers to define API integrations and system behavior.
Ensure application stability, security, and scalability within production environments.
Requirements
Minimum
3 years of Android application development experience
using Kotlin.
Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs.
Strong understanding of asynchronous programming using
Coroutines
and
Flow
.
Experience working with RESTful or gRPC APIs and structured data formats.
Strong debugging, troubleshooting, and performance profiling skills.
Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior.
Familiarity with
ML Kit
or lightweight on-device inference is an advantage.
Experience publishing and maintaining production applications on the
Google Play Store
.
Preferred Technical Skills
Experience with the following technologies is preferred:
Kotlin / Java
SQL and NoSQL databases
TensorFlow Lite (on-device inference)
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
San Francisco, California
ГибридMunich
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