Location: Cairo, Egypt
Müller’s Solutions is seeking an experienced Power BI Consultant to join our team. In this role, you will be responsible for designing, developing, and delivering Power BI solutions that enable data-driven decision-making across the organization. You will work closely with business stakeholders to understand their needs and translate them into effective, insightful reports and dashboards. Your expertise will ensure the efficient deployment and adoption of Power BI, driving business intelligence initiatives.
Responsibilities:
Design, build, and deploy Power BI reports and dashboards tailored to business user requirements.
Collaborate with stakeholders to gather requirements and provide BI solutions that align with business goals.
Develop and optimize data models and queries to ensure high performance and accuracy.
Implement best practices for data governance, data quality, and security within Power BI projects.
Provide training, support, and documentation to end-users and team members.
Maintain and update existing Power BI reports and solutions to adapt to changing business needs.
Stay current with the latest Power BI features, tools, and industry trends to continuously improve BI capabilities.
Work closely with IT and data teams to integrate Power BI with various data sources.
Requirements
3 to 5 years of practical experience in creating Power BI reports and dashboards.
Advanced skills in
DAX
and
Power Query (M Language)
.
Extensive experience in
data modeling
and combining data from various sources.
Good knowledge of
data visualization best practices
.
Experience in publishing, managing, and maintaining reports within the
Power BI Service
.
Capability to analyze business requirements and convert them into technical solutions.
Strong communication abilities and experience collaborating with cross-functional teams.
Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
Demonstrated experience as a Power BI Consultant or Developer with a robust portfolio of Power BI projects.
In-depth knowledge of Power BI Desktop, Power BI Service, DAX, Power Query, and data modeling.
Hands-on experience with SQL and integrating Power BI with diverse data sources.
Awareness of data governance, data quality, and security best practices.
Excellent communication and interpersonal skills for working effectively with both technical and non-technical stakeholders.
Strong analytical and problem-solving skills to transform business needs into efficient BI solutions.
Ability to handle multiple projects simultaneously and meet deadlines in a fast-paced environment.
Familiarity with other BI tools and analytics platforms is advantageous.
Preferred Qualifications:
Microsoft certification such as
PL-300 (Power BI Data Analyst)
or equivalent.
Experience working in enterprise environments.
Familiarity with SQL and other data platforms is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Argentina; Colombia; Mexico; Honduras; Brazil
We are hiring a high-caliber
Executive Assistant
to work directly with a Principal in a fast-growing
real estate investment and development company
.
This is
not a traditional administrative role
. It is designed as a
stepping stone into an Operations Associate / Operations Manager path
, with direct exposure to acquisitions, capital raising, construction, leasing, and asset management.
You will play a key role in building structure, improving execution, and helping scale the business.
Key Responsibilities
Principal Productivity & Execution
Run weekly time reviews and generate actionable summaries
Track performance against an “ideal day” structure and identify gaps
Review dashboards (Asana, time tracking) to surface priorities
Send daily priority updates (tasks, decisions, follow-ups)
Apply clear frameworks for prioritization, delegation, and scheduling
Inbox, Calendar & Follow-Ups
Manage calendar, meetings, and confirmations
Maintain daily inbox organization (prioritize, delegate, clean)
Track follow-ups and ensure nothing falls through the cracks
Maintain and act on “waiting on others” lists
Operations & Business Support
Keep Google Drive and internal documentation structured and updated
Maintain CRM hygiene (HubSpot) and investor follow-ups
Support reporting, KPI tracking, and dashboard updates
Assist with vendor coordination and project tracking
Support property management workflows and leasing coordination
Systems & Process Optimization
Build and refine SOPs across operations (leasing, investor communication, onboarding, etc.)
Maintain clear and usable documentation (Google Docs, Loom, checklists)
Improve cross-team workflows (acquisitions → rehab → lease-up)
Identify and implement simple system improvements and integrations
Personal Support (Light)
Track and review personal budget and expenses
Support scheduling of personal and family activities
Requirements
5–7 years of experience in EA, Operations, Chief of Staff, or similar roles
Experience in real estate, PropTech, FinTech, or adjacent industries is highly preferred
Proven experience building or improving systems and SOPs
Strong ownership mindset with the ability to drive execution independently
Excellent organization and attention to detail
Strong written communication and documentation skills
Proficiency with Google Workspace, Asana (or similar), and CRMs (HubSpot preferred)
Comfortable blending business and personal executive support
Availability during Pacific / Mountain Time working hours
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
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
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: 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
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: Pakistan; India; Brazil; Mexico; United Kingdom
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a Founding Engineer (Fullstack) to help take the product from zero to launch and beyond to product-market fit. This is a rare opportunity to work side-by-side with the founding team and play a defining role in shaping both the product and the company.
You’ll be responsible for building core systems, crafting exceptional user experiences, and driving technical decisions across the stack. This role is ideal for a highly intelligent, pragmatic builder who thrives in early-stage environments and has a track record of shipping complex, user-facing applications.
Key Responsibilities
Own end-to-end development of core product features across the fullstack, with a strong focus on frontend UX and performance.
Collaborate closely with the founder, product designer, and early users to iterate rapidly and deliver exceptional user experiences.
Design, build, and maintain scalable backend systems, including PostgreSQL schemas and Row-Level Security (RLS) via Supabase.
Develop and manage edge APIs, backend services, and workers to support real-time, high-performance applications.
Translate complex product concepts into intuitive, elegant, and user-friendly interfaces.
Make foundational architecture and infrastructure decisions that balance speed, scalability, and reliability.
Build and optimize systems to support product growth from early launch through scale.
Integrate and interact with smart contracts and blockchain infrastructure.
Own and maintain blockchain indexing systems to power real-time product functionality.
Develop modern authentication and digital asset experiences using technologies like WebAuthn.
Partner with fintech and infrastructure providers to deliver secure and scalable solutions.
Contribute to product strategy, experimentation, and iteration to help achieve product-market fit.
Establish and uphold strong engineering practices, performance standards, and a security-first mindset.
Requirements
Exceptional intellectual ability and curiosity, with a strong academic background (e.g. Computer Science, Mathematics, Physics, Electrical Engineering) or equivalent experience.
5+ years of software engineering experience, including at least 1 year at a senior level with high ownership.
Strong proficiency in TypeScript and React for building production-grade frontend applications.
Backend and systems experience; familiarity with Go or low-level/system design is a strong plus.
Extensive experience with PostgreSQL and scalable data architecture.
Proven track record of building and shipping complex user-facing products (e.g. social platforms, marketplaces, trading systems).
Strong interest in finance, blockchain/Web3, consumer apps, user psychology, and AI/LLMs.
A strong security-first mindset, with attention to data integrity and system resilience.
Ability to move fast, make pragmatic decisions, and thrive in ambiguity.
Strong communication skills and a collaborative, founder-level mindset.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco; Palo Alto
Workplace: Hybrid
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users.
As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements.
RESPONSIBILITIES
- Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions
- Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures
- Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data
- Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements
- Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality
QUALIFICATIONS
- 4+ years of software, data, or machine learning engineering experience shipping and operating production systems
- Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems
- Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines
- Demonstrated ownership of ambiguous technical projects from initial design through production operation
- Ability to work effectively with data scientists, engineers, and product partners
PREFERRED QUALIFICATIONS
- Experience building evaluation, experimentation, observability, or machine learning infrastructure
- Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation
- Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse
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: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
Atlas gives teams a way to build and use internal software with AI, with the infrastructure to connect company tools, manage access, and share what they build.
We're hiring a Product Manager to help take Atlas from a new product to something teams rely on every day. You'll identify the most valuable problems to solve, work closely with engineering and design to ship, and figure out what turns early interest into adoption. This role spans product discovery, launch, and the work that comes after: learning from real usage and deciding where to go next.
The product team at WorkOS works closely with developers and technical buyers who have strong opinions and high standards. Our engineers bring sharp product instincts, and you'll be a close partner in deciding what to build and why. You'll have room to shape the product, make decisions with incomplete information, and move quickly as you learn.
WHAT YOU'LL DO
- Own product direction and outcomes for Atlas, from identifying customer problems through discovery, delivery, launch, and iteration.
- Work directly with early users to understand what they're trying to build, where they get stuck, and what would make Atlas useful in their everyday work.
- Turn those insights into a clear roadmap, making deliberate choices about which use cases to pursue and what to ship first.
- Partner closely with engineering and design to turn technical capabilities into a product people can understand and use.
- Define success metrics for activation, adoption, and continued use, and use customer feedback and product data to guide your next decisions.
- Work with marketing, sales, and other go-to-market partners to bring Atlas to market and communicate its value clearly.
- Follow how people are building with AI and agents, and use what you learn to identify new product opportunities.
WHAT WE'RE LOOKING FOR
- Experience building products for developers or technical B2B users, with the technical fluency to work closely with engineers and understand customer workflows.
- A track record of taking a new product from an early idea to launch and adoption. You can explain the decisions you made, what you learned from users, and how the product changed as a result.
- Strong product judgment: you can find a useful starting point in an ambiguous problem and decide what matters most.
- A habit of talking to customers and using what you learn to shape the product.
- The ability to move quickly, make decisions without perfect information, and adjust as new evidence comes in.
- Clear communication and strong partnerships with engineering, design, and go-to-market teams.
ESPECIALLY RELEVANT EXPERIENCE
- Shipping agentic products, or working directly alongside teams building them. Recent experience with how people use agents to get work done is a strong plus.
- Bringing a new developer tool or technical B2B product to market and building its early adoption.
- Working on pricing, packaging, or a product-led growth motion.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As a Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through effective pipeline generation. Our role is to lay the foundation for Fin Sales by engaging with prospects and customers, helping them understand the value of Fin through creative & engaging prospecting.
We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible. In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in sales.
As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same!
What will I be doing?
Creating and prioritizing strategic target account lists with Account Executives
Generating new business pipeline for Account Executives through cold calling, email, social etc.
Providing a great experience for Fin's prospective customers
Maintaining an up-to-date knowledge of our product and its value to customers
Demonstrating an ability to attract new customers
Working with other functions to improve business processes
Engaging in team development and mentoring
What skills do I need?
Strong desire to build a career in Sales, you want to be an Account Executive or a closing based role in the future
1+ year of customer-facing work experience (Sales and/or SaaS experience is a +)
Operational Excellence:
You can use your time in an effective and efficient manner to complete revenue driving activities, you can quickly identify where to focus your efforts to drive more pipeline.
Competitive Landscape & Industry Knowledge is crucial.
You’ll bring an understanding of the SaaS landscape and our target verticals. You always want to stay on top of the latest news & industry trends.
Prospecting skills (cold calling, email, social)
You know how to leverage modern sales engagement tools to deliver prospect engagement across multiple channels (phone, email, LinkedIn)
Communication
You can articulate your thoughts and express ideas effectively using verbal, written and non-verbal communication skills (to inform, instruct, and persuade), to different audiences.
You listen effectively and love to partner and collaborate with your peers
Growth Mindset
You’re self-aware and understand both your strengths and weaknesses. You understand every day is an opportunity to be 1% better than the day before. You proactively seek feedback.
Results Oriented
You bring a never settle approach to quota, progression and team development. Results oriented SDRs are hungry to succeed and raise the bar.
Bonus skills & attributes
Bachelor's Degree preferred
Familiarity with these systems and tools: (SFDC, Outreach, Cognism, Zoominfo, LinkedIn Sales Navigator)
#LI-Hybrid
#LI-RH1
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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: Sydney
Workplace: Hybrid
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
УдалённоArgentina; Colombia; Mexico; Honduras; Brazil
УдалённоWarsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary
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