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Senior Manager, Quality Engineering
Sardine · United States
Pay
$165k–230k
Setting
Remote
Who we are:
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
Our culture:
- We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
- We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
- We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
Location:
- Remote - United States
- From Home / Beach / Mountain / Cafe / Anywhere!
- We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.
ABOUT THE ROLE
As we grow into banks and expand globally, quality is becoming increasingly important. We're looking for a Senior Manager, Quality Engineering to own quality across our platform and our customer-facing delivery.
You will lead a globally distributed QA team across web, mobile, and manual testing, and set the standards, strategy, and governance that make our quality credible to banks: documented test plans, coverage metrics, release gates, and audit-ready evidence. You'll partner closely with Engineering, Professional Services, and our customers to make sure every product change and every bank integration is correct, well-documented, and formally accepted.
WHAT YOU'LL BE DOING
- Own end-to-end QA strategy across the platform and customer-facing delivery, spanning a globally distributed team of QA engineers.
- Establish and maintain quality governance appropriate for regulated financial institutions: test strategy standards, coverage metrics, release criteria, and audit-ready evidence.
- Own incident response for quality-related issues: triage, root cause, future prevention, and clear post-incident communication.
- Partner with engineers to strengthen test automation, CI/release gating, and regression coverage for a real-time, high-throughput platform.
- Partner with Professional Services and Post-Sales team to support UAT, structured acceptance testing, and integration validation for bank and enterprise deployments.
- Play a pivotal role in shaping our engineering culture, ensuring high quality standards are upheld across the organization.
WHAT YOU'LL NEED
- 8+ years in software quality, with 2+ years managing QA or Quality Engineering teams.
- Experience owning quality for a regulated domain like banking, payments, or fintech. Familiar with audit, UAT, and documented test governance.
- A strong quality engineering mindset: test automation, CI/CD gating, and coverage measurement, balanced with structured manual and exploratory testing.
- Hands on experience building test automation using Cypress or similar tools
- A track record of building high-performing, distributed teams across multiple time zones and cultures.
- A metrics-driven approach: comfortable defining and reporting on quality KPIs
Benefits we offer:
- Generous compensation in cash and equity
- Early exercise for all options, including pre-vested
- Work from anywhere: Remote-first Culture
- Flexible paid time off and Year-end break
- Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
- 4% matching in 401k / RRSP - US and Canada specific
- MacBook Pro delivered to your door
- One-time stipend to set up a home office — desk, chair, screen, etc.
- Monthly meal stipend
- Monthly social meet-up stipend
- Annual health and wellness stipend
- Annual Learning stipend
Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.
To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice https://www.sardine.ai/applicant-and-worker-privacy-notice.
Listed by Sardine for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Engineer - Onboarding
Sardine · United States
Pay
$115k–195k
Setting
Remote
Listed by Sardine for a position based in the United States. Employers on this board attest they are hiring domestically.
Product Manager - SRE and Data Engineer
Sardine · United States
Pay
$95k–235k
Setting
Remote
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Listed by Sardine for a position based in the United States. Employers on this board attest they are hiring domestically.
Deputy Chief Information Security Officer
Sardine · United States
Pay
$235k–270k
Setting
Remote
Deputy Chief Information Security Officer
Location
United States
Employment Type
Full time
Location Type
Remote
Department
Security and IT
Compensation
Estimated base salary $235K – $270K • Offers Equity
The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.
Overview
Application
Who we are:
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
Our culture:
We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
Location: Remote, United States
Travel: Approximately once every 1–2 months, primarily in North America, with some potential international travel
About the Role
Sardine is hiring a Deputy Chief Information Security Officer to partner closely with our CISO and help scale our security program as we grow.
This is a senior, high-impact role for a security leader who can operate across multiple areas, including application security, GRC, security operations, cloud and SaaS security, corporate IT, customer trust, and overall security strategy. You’ll serve as a trusted partner to the CISO, help identify and prioritize the highest-risk areas, and represent Sardine’s security program with internal teams, customers, prospects, auditors, and industry stakeholders.
We’re looking for someone who is broad, pragmatic, technically fluent, and comfortable in customer-facing settings. The right person can balance strong security judgment with the pace and trade-offs of a fast-moving startup.
What You’ll Do
Partner with the CISO on Sardine’s overall security strategy, roadmap, priorities, and execution
Help identify, prioritize, and address the highest-risk areas across the business
Support security reporting, executive updates, budgeting, vendor evaluation, and planning
Partner on key compliance initiatives, including PCI, SOC 2, ISO 27001, DORA, and future FedRAMP readiness
Support incident response and act as a deputy incident lead when needed
Work closely with Engineering on application security, secure SDLC, vulnerability management, threat modeling, and remediation
Assess and improve security across cloud infrastructure, SaaS tools, IAM, endpoint management, and corporate IT systems
Bring strong AppSec fluency, including understanding how code moves from design through production, CI/CD, testing, SAST/DAST, dependency scanning, and secrets management
Partner with Product and Engineering on security considerations for AI/ML systems, bot mitigation, and abuse prevention
Support customer-facing security conversations, RFPs, due diligence, security reviews, and executive briefings
Help build trust with enterprise customers by translating technical security concepts into clear business language
Partner cross-functionally with Legal, Sales, Engineering, Product, People, and IT
Champion a pragmatic security culture that enables the business while managing risk
What We’re Looking For
10–15+ years of cybersecurity experience, including 3+ years in a senior leadership role
Broad security background across multiple domains, not a single-specialty profile
Strong application security experience and ability to assess technical risk without needing to be hands-on coding daily
Experience operating in a startup, scale-up, or similarly resource-constrained environment where prioritization and pragmatism are critical
Ability to evaluate risk, stack-rank priorities, and focus on the highest-impact security work
Strong working knowledge of compliance frameworks such as SOC 2, PCI DSS, ISO 27001, GDPR, CCPA, DORA, and ideally FedRAMP
Experience participating in or leading security incidents
Strong cloud, SaaS security, IAM, endpoint security, and zero-trust fundamentals
Familiarity with AI-assisted workflows and emerging AI/ML security risks
Customer-facing communication skills, with the ability to support sales, security reviews, and executive-level customer conversations
A collaborative, business-enabling approach to security — someone who helps teams find safe paths forward rather than defaulting to “no”
Strong leadership presence and ability to build trust with security, engineering, executive, and go-to-market teams
Experience in fintech, payments, security, bot mitigation, or regulated industries is a plus, but not required
Must be based in the United States and authorized to work in the US without sponsorship
Benefits we offer:
Generous compensation in cash and equity
Early exercise for all options, including pre-vested
Work from anywhere: Remote-first Culture
Flexible paid time off and Year-end break
Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
4% matching in 401k / RRSP - US and Canada specific
MacBook Pro delivered to your door
One-time stipend to set up a home office — desk, chair, screen, etc.
Monthly meal stipend
Monthly social meet-up stipend
Annual health and wellness stipend
Annual Learning stipend
Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.
To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.
Apply for this Job
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Listed by Sardine for a position based in the United States. Employers on this board attest they are hiring domestically.
Machine Learning Engineer
Sardine · United States
Pay
$135k–270k
Setting
Remote
Machine Learning Engineer
Location
North America
Employment Type
Full time
Location Type
Remote
Department
Engineering
Compensation
US
Estimated base salary $175K – $220K • Offers Equity
Canada
Estimated base salary CA$210K – CA$265K • Offers Equity
The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.
Overview
Application
Who we are:
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
Our culture:
We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
Location:
Remote - United States or Canada
From Home / Beach / Mountain / Cafe / Anywhere!
We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.
About the role:
As a Machine Learning Engineer at Sardine, you'll own the systems that make real-time fraud detection possible. Our data science team builds custom models for our clients, you build and run the platform they deploy onto, and the low-latency serving path those models score on.
Sardine scores millions of sessions in real time from hundreds of device and behavioural signals, inside a sub-250ms budget. That constraint shapes everything: how features are computed and served, how models are deployed and rolled back, how quickly you know when something has degraded. You'll be the person who figures out why a model broke.
What you'll be doing:
Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both
Build the deployment path our data scientists use to ship models themselves, including bring-your-own-model support for clients hosting their own
Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation
Build and optimise the pipelines that turn raw device and behavioural signals into production-ready features
Work across Python and our Go backend to keep inference fast inside the request path
Build models yourself where it makes sense, roughly 20% of the role, and more if you want it
Champion testing, observability, security and compliance in a regulated environment
What you'll need
Experience building, not just using, model serving infrastructure.
Production ownership of ML systems: you've been paged when something broke, you found out why, and you changed something so it didn't happen again.
Strong Python, and solid software engineering fundamentals, testing, code review, CI/CD, the discipline that makes a platform other people can rely on.
Comfort with Kubernetes, containers and a major cloud (we're mostly GCP), plus infrastructure-as-code.
Enough understanding of models to debug them. You don't need to have trained one recently, but when precision drops you should know the difference between a data problem, a feature pipeline problem, and a model problem
Experience building tooling other engineers or data scientists actually use, and the judgement to know what should be self-serve and what shouldn't.
Bonus Points
Domain knowledge in fraud, risk, or cybersecurity.
Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.
Understanding of modern browser APIs and high-entropy data collection techniques.
Familiarity with leveraging frontier LLMs for automation.
Benefits we offer:
Generous compensation in cash and equity
Early exercise for all options, including pre-vested
Work from anywhere: Remote-first Culture
Flexible paid time off and Year-end break
Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
4% matching in 401k / RRSP - US and Canada specific
MacBook Pro delivered to your door
One-time stipend to set up a home office — desk, chair, screen, etc.
Monthly meal stipend
Monthly social meet-up stipend
Annual health and wellness stipend
Annual Learning stipend
Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.
To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.
Apply for this Job
Powered by
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Listed by Sardine for a position based in the United States. Employers on this board attest they are hiring domestically.
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