Location: United Kingdom, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK.
Your new role
As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.
Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training.
How you’ll make an impact
Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes.
Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development.
Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions.
Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism.
Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards.
Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives.
Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities.
Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies.
Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices.
Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks.
Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices.
Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies.
Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols.
Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents.
Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions.
Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools.
What will set you up for success
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience).
5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations.
Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards.
Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting.
Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring.
Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security.
Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs.
Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation.
Proficiency in AWS security best practices.
Skills in automation, development, or scripting for enhanced security operations.
Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls.
Proficiency in email security protocols like SPF, DKIM, and DMARC.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com
Applicant Privacy Notice (United Kingdom)
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout.
What You’ll Be Doing
Lead the
product planning, requirement analysis, and solution design
of the AI Native engineering platform, and drive continuous product evolution and adoption.
Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions.
Design
AI Agent capabilities for engineering scenarios
, including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation.
Drive the integration of AI capabilities with
code repositories,
CI/CD
pipelines, testing platforms, deployment environments, and knowledge platforms
to deliver a unified end-to-end product experience.
Establish mechanisms for
product effectiveness evaluation, user feedback, and continuous optimization
, and support the product’s scale-up from pilot validation to broad adoption.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in ToB products, platform products, or intelligent product solutions.
Must have an
engineering background
, such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams.
Strong understanding of
DevOps
, engineering productivity, software delivery processes, and quality systems
, with the ability to abstract and productize complex workflows.
Solid understanding of
AI Agent product design
, with the ability to design for task execution, workflow orchestration, result validation, and delivery closure.
Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of
Claude Code
, Codex,
Cursor
, and Copilot
, as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations.
Strong structured thinking, cross-functional collaboration, and execution skills; experience with
engineering platforms,
DevOps
platforms, platform products, or intelligent products
is a plus.
Nice to Haves
Experience with products related to
AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows
.
Experience building
engineering platforms,
DevOps
platforms, or platform products
from 0 to 1 or from 1 to N.
Hybrid background of
engineering-to-product transition
, or contributions to open source, communities, or public thought leadership in AI or engineering productivity.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture.
What You’ll Be Doing
Lead the
overall architecture design and core capability development
of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Drive the
implementation of AI Native capabilities in engineering workflows
, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment.
Build the
knowledge augmentation layer
for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities.
Establish the
runtime and governance framework
for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in
Java / Python
, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of
LLM
and AI Agent architectures
, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with
LangChain and LangGraph
, and strong familiarity with mainstream AI coding tools or frameworks such as
Claude Code
, Codex,
Cursor
, and Copilot
.
Experience in designing or developing
RAG / GraphRAG / knowledge graph
solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of
DevOps
,
CI/CD
,
Kubernetes
, and cloud-native technologies
, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to
open-source projects
related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building
enterprise engineering platforms,
DevOps
platforms, or AI platforms
.
Familiarity with open-source Agent projects such as
openclaw, openhands/openharness, or Hermes
.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary
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’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
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: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands
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’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
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: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom
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’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
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: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany
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’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
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
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Barcelona, Spain; Madrid, Spain; Málaga, Spain; Milan, Italy; Rome, Italy
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’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
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
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Mississauga, Ontario
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Job title: Senior Software Engineer
About the role:
You will join a high-impact team transforming healthcare through technology. Our platform
connects fragmented clinical systems to enable real-time care coordination across
thousands of healthcare facilities, serving millions of users. You will design and build
scalable platform services, leveraging modern AI-augmented engineering practices to
accelerate delivery, improve reliability, and enhance clinical and operational outcomes
What your day-to-day will look like:
• Build robust platform services supporting clinical operations
• Partner with product and clinical teams to understand and solve real workflow
challenges
• Drive architectural decisions for business platform services
• Own the reliability and performance of critical healthcare solutions
• Mentor team members on modern engineering practices
What qualifications we’re looking for:
Required Technical Experience
•Strong track record building and shipping production software in modern languages
(Java, Python, or similar)
• Deep understanding of cloud-native architecture and distributed systems design
patterns
• Expertise in design, optimization, and scaling for relational (SQL) database
systems, bonus points for NoSQL database systems
• Experience designing and implementing RESTful APIs and microservices
• Proficiency with test-driven development, automated testing, and maintaining high
code quality
• Hands-on experience with modern frontend frameworks, primarily React or Vue.js.
• Working knowledge of CI/CD pipelines and infrastructure-as-code practices
• Experience with production observability, monitoring, and performance
optimization tools
Modern Engineering Practices
• Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude
Code) as part of your workflow
• Experience applying AI tools throughout the development lifecycle from
requirements analysis, documentation to incident response
• Strong code review skills demonstrated through giving and receiving constructive
feedback
• Experience with Git workflows and collaborative development practices
• Ability to balance feature delivery with system reliability and technical excellence
• Comfortable with on-call responsibilities and incident response
What Would Make You Stand Out
• Experience building and scaling SaaS platforms
• Track record of mentoring engineers or leading technical initiatives
• Background with Spring Boot and Java ecosystem
• Experience with Azure cloud services and Kubernetes (AKS)
• Experience in healthcare technology or regulated industries
• Understanding of HIPAA compliance and handling sensitive data
Our Stack
• Front-End: React/Vue JS, Micro-Frontends, Material-UI
• Backend: Java, Spring Boot
• Data: PostgreSQL, MSSQL, Redis
• CI/CD: GitHub Actions, Jenkins
• Infrastructure: Azure, AKS, Terraform
• AI Tooling: Claude Code, Copilot
#LI-AJ1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: London
Workplace: Hybrid
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto; New York City
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
WHAT YOU WILL WORK ON
Examples of real work the team does:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
GOOD IF YOU TOUCHED ANY OF
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: Warsaw
Workplace: Hybrid
Role highlights:
• Senior C++ Engineer – Satellite Real-Time Control Systems
• Location: Warsaw, Poland
• Department: Engineering
• Reports to: Engineering Lead, AOCS Software
• Employment type: Permanent
• Workplace model: Hybrid
• Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics.
Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
• Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution
• Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy
• Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support
• Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance
• Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value
• Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy
What we’re looking for
Must haves:
• Strong experience writing modern C++ with a clear understanding of production-quality code
• Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems
• Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour
• Experience interfacing with sensors and actuators in embedded Linux environments
• Strong engineering practices including rigorous testing, CI/CD, and clear documentation
• Ownership mindset across the full software lifecycle from concept to on-orbit maintenance
• Clear communicator who collaborates effectively across multidisciplinary teams
Nice to haves:
• Experience with hardware-in-the-loop and model-in-the-loop testing
• Experience supporting software in operational or mission-critical environments
• Familiarity with satellite GNC or space systems
Application Process
• Talent Attraction screening
• Hiring Manager interview
• Task and Technical interview
• On-site technical workshop
• On-site behavioural interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include:
- Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach
- Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users
- Implementing sophisticated data processing pipelines that maintain search relevancy
As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo.
ABOUT YOU
- 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products
- Product acumen to reason about technical tradeoffs in terms of user impact
- Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering
- A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code.
- Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery
- Solid project management abilities
- Excellent written and verbal communication to validate and articulate decisions
- Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Dnipro, Ukraine; Kharkiv, Ukraine; Kyiv, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Sambir, Ukraine; Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan; Pondicherry, India; Ahmedabad, India; Delhi, India; Hyderabad, India; Bangalore, India; Mumbai, India; Pilsen, Czechia; Praha, Czechia; Poland; Poznan, Poland; Warsaw, Poland; Lublin, Poland; Krosno, Poland; Krakow, Poland; Bratislava, Slovakia; Mirpur, Bangladesh; uttara, Bangladesh; Bucuresti, Romania; Sofia, Bulgaria; Zagreb, Croatia; Budapest, Hungary; Miskolc, Hungary
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Full-stack developer
to join one of our
clients
' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities:
•Develop, optimize, and maintain Next.js-based front-end applications with pixel-perfect UI and high
performance across all 6 portals
• Build and maintain NestJS-based APIs, microservices, and scalable back-end architecture with
Prisma ORM
• Own Prisma migration workflows - schema changes, migration generation, seeding, and
coordination with QA on data integrity
• Deploy and manage infrastructure on AWS and Google Cloud Platform (dual-cloud architecture)
• Implement and maintain multi-tenant architectures with tenant isolation at the code level - each
portal has distinct user roles and data access patterns
• Use Claude Code as your primary AI-assisted coding tool to accelerate development, generate code,
debug, and refactor
• Leverage Cursor as a secondary AI IDE for rapid iteration and code exploration
• Orchestrate and configure sub-agents within Claude Code for complex multi-step development tasks
(test generation, documentation, migration scripts, code reviews)
• Build MCP (Model Context Protocol) integrations to connect AI tooling with platform data sources and
workflows
• Write code that passes SonarCloud quality gates on first push - understand code smell resolution,
quality gate criteria, and static analysis compliance (4,484+ issues being burned down in waves)
• Respond to and address feedback from 5 PR review bots (Devin, Bugbot, Codex, Copilot, Augment)
in addition to human reviewers
• Work on front-end aspects including data extraction tools, dynamic scheduling, dynamic pricing, and
workflow automation interfaces
•
Optimize application performance for millions of concurrent users - efficient database queries,
connection pooling, caching strategies (Redis/ElastiCache), lazy loading, and code splitting
• Design and implement scalable data access patterns - pagination, cursor-based queries, read
replicas, and query optimization for high-throughput workloads
• Build systems that handle tens of millions of sessions without degradation - connection management,
rate limiting, graceful degradation, and horizontal scaling patterns
• Profile and resolve performance bottlenecks across the full stack: frontend rendering, API response
times, database query plans, and cache hit ratios
• Collaborate closely with designers, product managers, and QA to deliver features rapidly
• Contribute to the Marcia Enabled ecosystem - building AI-powered features across the platform
•
AI-Assisted Development (Critical): Proven, daily experience using Claude Code (or equivalent
agentic coding tool) as your primary development environment. You must demonstrate fluency in
prompt engineering for code, sub-agent orchestration, multi-file refactoring via AI, and AI-driven test
generation.
• Claude Code & Sub-Agents: Hands-on experience configuring and using sub-agents for parallelized
tasks - writing tests, generating docs, running migrations, and reviewing PRs via AI.
• Cursor / AI IDE: Comfortable using Cursor as a secondary tool for code exploration, inline
completions, and rapid prototyping.
• Strong JavaScript/TypeScript and Next.js expertise (App Router, Server Components, Suspense)
• Deep proficiency with NestJS for backend API development, microservices patterns, and Prisma
ORM (schema design, migrations, seeding)
• Scale & Performance (Critical): Proven experience building and optimizing applications serving
millions of users with high concurrency. You must understand database query optimization,
connection pooling, caching strategies, horizontal scaling patterns, and how to profile and resolve
bottlenecks across the full stack.
• Cost Optimization: Experience identifying and reducing unnecessary cloud spend, optimizing
database costs, right-sizing infrastructure, and writing efficient code that minimizes compute and
memory consumption at scale.
• Proficiency with AWS services (ECS, Lambda, S3, CloudFront, RDS, SQS) and Google Cloud
Platform (GKE, Cloud Run, BigQuery, Cloud Functions)
• Experience in multi-tenant front-end and back-end architecture with tenant isolation
• Redis/ElastiCache for caching and session management (this is core infrastructure, not optional)
• pnpm monorepo experience - the codebase is a monorepo with pnpm workspaces. This is a daily
workflow requirement
• SonarCloud compliance - understanding quality gates, code smell categories, and writing clean
code that passes static analysis
• Proficiency with CI/CD pipelines (GitLab CI, GitHub Actions) and deployment automation
• Comfortable with remote development environments - developers work on EC2 dev boxes accessed
via Tailscale VPN, not local machines. SSH-based workflows required
• Experience with real-time features: Socket.io, Redis, BullMQ
• Security hygiene: IP allowlists, secret scanning, and push protection are enforced at the GitHub org
level. Pushing secrets triggers alerts. Security consciousness is non-negotiable.
Nice-to-Have Skills:
• Experience building or integrating MCP servers and tools
• Background in LLM integration (API calls, prompt management, token optimization)
• Exposure to serverless architecture and microservices integration on AWS/GCP
• Experience in healthcare/veterinary/scheduling-heavy applications
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Role
We're looking for a technical lead who can own the frontend across OKX's core crypto business verticals. You'll be deeply involved in the full frontend delivery lifecycle across Trading, Web3, Payment, and beyond — not just writing code, but helping teams and products find the right direction, make the right calls, and execute with speed and precision.
This role demands the rigor of an engineer, the strategic thinking of a product manager, and the market instincts of a crypto practitioner. You don't need to carry a full-stack title, but you must genuinely understand frontend, have enough backend fluency to hold your own in architecture discussions, and — above all — understand the business.
Core Responsibilities
Business & Team Leadership
Own the overall frontend team across core business verticals including Trading and Payment, covering hiring, development, and pipeline building. Partner effectively with Product, Backend, Security, and Compliance — driving cross-functional outcomes through technical judgment, not just execution.
Product Delivery & Technical Execution
Lead technical design and delivery for core business features including trading system frontend experience, wallet and asset management, AI-powered trading products, payment gateway integrations, and KYC/AML frontend implementation. Stay deeply sensitive to business metrics and user experience, making sound trade-offs between speed and quality.
Product & Engineering Thinking in the AI Era
Demonstrate deep understanding of how AI is reshaping product paradigms — changing user expectations, product form factors, and R&D efficiency. Integrate AI into product decisions and design, not merely as a productivity tool.
Technical Judgment & Standard-Setting
Drive tech stack alignment and evolution. Proactively identify and address technical risk. Establish high engineering quality standards in complex crypto security contexts — private key security, frontend attack prevention, compliance auditing, and more.
Cross-Team Influence
Build dual technical and business influence at the company level. Communicate technical value and business judgment clearly to engineers, product managers, and senior leadership alike. Participate in industry engagements to attract high-potential talent who are genuinely passionate about crypto.
Requirements
Bachelor's degree or above in CS or related field; 10+ years of engineering experience including 5+ years managing technical teams; solid full-stack capabilities with frontend depth
Deep command of core frontend technologies (React/Vue internals, engineering toolchains, performance optimization, cross-platform solutions), with enough backend and API fluency to drive substantive technical discussions
Proven track record leading frontend for products with DAU 1M+ in high-concurrency, high-availability environments
Demonstrated experience driving cross-team collaboration and standard adoption through technical influence rather than organizational authority
Industry Background (Partial Core)
(Core)
Genuine understanding of and enthusiasm for crypto — familiar with CEX/DEX trading mechanics, Web3 wallet and signing mechanisms, and mainstream payment gateway ecosystems
Experience owning frontend delivery for trading, fintech, payments, or crypto products; comfortable navigating the tensions between compliance, security, and user experience
Familiarity with the Web3 frontend ecosystem (ethers.js / wagmi / viem, WalletConnect, EVM contract interactions, etc.)
Global product experience — understands the complexity of multi-language, multi-currency, multi-jurisdiction compliance requirements
Engineering Competencies for the AI Era (Core)
Deep understanding of how AI is reshaping product design; can integrate AI into product decisions rather than treating it purely as a development accelerator
Strong ability to model and frame complex problems; defines the right problem boundaries and system abstractions before reaching for solutions
Proven ability to constrain, guide, and evaluate AI outputs — decomposing complex engineering requirements into AI-executable task sequences
Experience establishing team-level AI working patterns; familiar with and having practiced AI Spec-Driven Development
Maintains high standards for code quality and system design integrity alongside — not despite — AI-assisted development
Soft Skills (Core)
Strong ownership: treats team goals as personal goals — proactive, accountable, clears obstacles without being asked
Sound judgment: makes high-quality decisions under incomplete information — decisive and accountable
Execution muscle: makes things actually land, not just live in decks and proposals
Fast learner: thrives in a fast-moving industry; rapidly absorbs new technologies, business dynamics, and regulatory shifts and converts them into team action
Bilingual: fluent English for technical discussions, documentation, and international collaboration (written and verbal at working proficiency)
Discl
aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Ko
ng.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Ukraine
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
seniorSingapore, Singapore
seniorSingapore, Singapore
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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