Location: Remote - US
Workplace: remote
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 Summary
PointClickCare is searching for a Principal Application Engineer who will lead application development by writing and rigorously defending production-grade application code and configurations on a regular basis, while also encouraging and optimizing the daily execution of technical excellence across the ESA teams. This role requires mastery in all areas of application development from design to implementation, to monitoring best practices while mentoring and coaching other team members and delivering both business and technical objectives through ambiguity, uncertainty and complex situations. The Principal Application Engineer will support strategic transformational projects, complex enhancements and lead root cause analysis for high-complexity incidents, ensuring long-term fixes and system resilience improvements. They will also oversee vendor engagements where necessary to ensure that they deliver quality technical solutions following the best industry-leading engineering practices.
To succeed as a Principal Application Engineer at PointClickCare, you need to be highly creative, accountable, collaborative and passionate. You are the Subject Matter Expert (SME) for core applications like Salesforce, NetSuite, Billing Platform., etc. meaning you have mastered the skills well enough to teach them. You are enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. You’re not afraid to dive into uncharted technical territory and get your own hands dirty while supporting and driving delivery of complex features through a dedicated team. You’re also eager to learn and teach knowledge that drives the team forward and are excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.
What your day-to-day will look like:
Be the go-to Subject Matter Expert (SME) and internal expert for relevant applications (Salesforce, NetSuite, Billing Platform, etc.) for senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices
Identify, prioritize and execute high complexity tasks in the application development life cycle with quality and speed
Collaborate with business stakeholders to understand strategic objectives and translate them into scalable technical solutions while driving simplified solution architecture
Develop complex tools and applications by producing clean, efficient code in the relevant application (Salesforce, NetSuite, Billing Platform, etc.) and languages (Apex, JavaScript,
SuiteScript
, Python, etc.) and
connected or integrated apps like Kantata, Conga, Gainsight, Qualtrics, Gong, TaskRay, Adobe, Quip, etc.
Build test automation regression suites and coach the broader team on how to set up test automations in Copado
Embed and Build AI workflows and agents to realize business value delivered faster
Coach and hold vendors accountable to our best practices and milestone deliverables
Automate high complexity tasks through appropriate tools and scripting and provide guidance on test automations
Analyze and debug systems and perform validation and verification testing in a test-driven manner
Be a coach/mentor for all engineers, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution
Take ownership of enterprise-wide initiatives to modernize application architectures, improve system integrations, and reduce technical debt.
Partner with cross-functional teams to drive standardization of development frameworks, automation tools, and DevOps best practices across the organization
Exercise independent judgement in methods, techniques and evaluation criteria for obtaining results and solving complex problems
Champion the adoption of AI and automation tools, leading experimentation and integration of AI agents to optimize development and operational workflows
Be the back-up for your manager when necessary to oversee the team’s successful delivery
Perform other tasks and duties as assigned
Qualifications we are looking for:
Bonus points for:
Solid experience working on a SaaS product
Deep experience with Salesforce Lightning Design System (SLDS) or other UI frameworks like React, Vue.js, or Angular
Deep experience with AWS, Azure, or other cloud platforms.
Deep experience with Service-Oriented Architecture (SOA) and SaaS product development
Working experience of SAML, OAuth, and OpenID Connect for authentication and authorization
Working experience of SQL
Working experience with on-call responsibilities for production-grade systems.
Solid understanding how to solve the dysfunctions of a team (trust, conflict, commitment, accountability and team results)
#LI-AJ1
#LI-Remote
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 USD base salary range for this position is $179,300-224,100+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process
Location: Brazil
Workplace: Remote
Location: Remote (LATAM)
Employment Type: Full-time Contractor
ABOUT THE CLIENT
A fast-growing, creator-powered social and monetization platform empowering creators, artists, and brands to engage their audiences, monetize digital content, and build direct, high-value fan relationships. We operate at the intersection of consumer social, digital media, creator monetization, and agentic AI.
MISSION
Lead reliable, secure, and cost-effective cloud operations so Fanbase teams can release with confidence and creators can rely on the platform.
THE ROLE
The project needs clear ownership of its infrastructure, deployment workflows, and production readiness across web, mobile, and backend services.
As a hands-on technical lead, you’ll strengthen AWS operations and incident response while partnering with the Principal Platform Engineer on architecture and shared engineering standards. You’ll also guide operational priorities and coach engineers, helping the team improve reliability without slowing delivery.
WHAT YOU’LL ACHIEVE IN 12–18 MONTHS
- Establish clear service objectives, actionable alerts, and incident ownership.
- Improve deployment frequency, change failure rate, and recovery time against established baselines.
- Validate backup restoration and disaster recovery against agreed recovery targets.
- Improve cloud cost efficiency, access controls, and infrastructure consistency.
WHAT YOU’LL DO
- Own AWS operations, infrastructure as code, CI/CD, environment configuration, and tested rollback procedures.
- Lead on-call planning, incident coordination, observability, and capacity planning; ensure incident reviews lead to meaningful follow-up.
- Strengthen IAM, secrets management, patching, backups, recovery drills, and cloud cost controls in partnership with Security and Engineering.
- Set operational priorities, coach engineers, and maintain clear, useful runbooks.
- Coordinate release readiness with QA and product teams.
WHAT YOU’LL BRING
- 6+ years of DevOps, SRE, or cloud engineering experience, including technical leadership and ownership of production incidents.
- Hands-on experience with AWS, Linux, networking, infrastructure as code, CI/CD, and scripting.
- Experience with Terraform or OpenTofu and GitHub Actions is preferred.
- Experience setting service objectives and improving monitoring, disaster recovery, security controls, and cloud cost management. AWS certification is preferred.
- Software development and automation experience, including the ability to build and debug code independently with or without AI coding tools.
- Effective use of AI assistants and agents, with the judgment to review and test generated changes, protect sensitive data, and remain accountable for production operations.
WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 90 DAYS
Days 1–30: Audit infrastructure, incidents, access controls, delivery workflows, and cloud spend.
Days 31–60: Define service objectives and on-call plans, then address a high-priority operational gap.
Days 61–90: Test rollback and restoration procedures and present a roadmap for reliability and cost improvements.
REPORTING AND PARTNERSHIPS
Reports to the Head of Engineering and leads delivery while coaching assigned engineers. Partners closely with the Principal Platform Engineer, Security, QA, and service owners.
WHY JOIN
Build the operational foundation that helps Fanbase deliver faster and gives creators a platform they can depend on.
JOIN US AND ENJOY THESE PERKS!
- Competitive Salary: Earn a USD salary that matches your skills and experience.
- Paid Time Off: Generous PTO to support your work-life balance and recharge.
- Health Insurance Subsidy: Financial assistance to support your healthcare coverage.
- Annual Salary Reviews: Structured annual evaluations to recognize and reward performance.
- Paid Training & Certifications: Continuous support for professional growth and upskilling.
Ready to put your puzzle-solving skills to the test? Join our team today!
LinkedIn: Puzzle
Instagram: @puzzle.tech http://puzzle.tech_
Location: Remote, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform.
You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow.
This is a full-time position based in the US.
Technologies You’ll Use
Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure
What You’ll Do
Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale.
Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value.
Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams.
Coach team members to maximize performance and efficiency, and prepare them for future roles.
Ensure the team shares specialist knowledge across the field through enablement and documentation.
Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance.
Skills We’re Looking For
People Leadership:
Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred.
Technical Depth:
Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts.
Cloud and Data Architecture:
Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses.
AI Fluency:
Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work.
Technical Sales Acumen:
Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process.
Communication Skills:
Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence.
Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source data software company
Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure
Experience managing distributed teams across multiple regions and time zones
Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval
OTE (On Target Earning)
$212,004.29
—
$294,450.54 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, New York, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
**THIS MUST BE FILLED OUT PRIOR TO SUBMITTING. Please do not change the headers for each section below.**
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
As a
Staff
Software Engineer
working on dbt Fusion, you’ll help build a next-generation analytics engine written in Rust that significantly improves performance, correctness, and developer experience across dbt workflows. You’ll work on a modern, state-aware execution engine with deep SQL understanding across multiple warehouses, enabling faster debugging, smarter orchestration, and more efficient large-scale deployments.
This role offers the opportunity to contribute to both open source and commercial code while shaping the future of dbt’s core platform.
This position is a
unique opportunity to work on mission-critical projects that will significantly improve the experience of our customers and developers
. You’ll help build truly differentiated systems and engines that sets us apart from other database technologies.
What You’ll Do
Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions.
Participate in technical architecture discussions with a focus on
query engines, storage systems, and distributed database design.
Build services, APIs, and experiences that support user delight, quality, high availability, and performance.
Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals.
Drive best practices in testing, observability, and system reliability.
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.
Skills We’re Looking For
Strong coding skills (10+ years) in at least one of the following technologies:
Rust, Python, Go or Java.
Familiarity with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform).
Proven ability to participate in complex projects and collaborate across functions.
Excellent problem-solving skills, clear communication, and a strong sense of ownership.
Interest in
systems, data infrastructure, compilers, or analytical tooling
, even if experience is primarily academic.
Experience working on
non-trivial projects
(coursework, internships, research, open-source, personal projects) that required persistence and iteration.
Willingness and enthusiasm to work across the stack and learn new technologies as the problem demands.
Evidence of being
self-directed and curious
—you proactively learn new tools, languages, or concepts when needed
Bonus Skills
Contributions to open source database technologies projects such as
Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems.
Expertise in
database systems, query engines, or storage systems.
Experience with performance optimization, observability, or large-scale query engines.
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT ALCHEMY
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
THE ROLE
We're looking for a Security Operations Engineer to improve how Alchemy detects threats, investigates incidents, and reduces operational security risk. This is a hands-on individual-contributor role with no people-management responsibilities.
You'll investigate suspicious activity and build the systems that make the next investigation faster and more reliable. AI-assisted engineering and investigation should be part of your daily work: connecting evidence, developing detections, building response workflows, and checking the results against source data.
You'll also help the team get better at this work. Through shared tooling, code review, pairing, and practical documentation, you'll give teammates capabilities they can use independently.
WHAT YOU WILL DO
- Detect and investigate threats. Triage alerts, hunt for suspicious activity, and investigate across cloud infrastructure, corporate systems, identity, endpoints, and production environments. Establish what happened from evidence and communicate uncertainty clearly.
- Engineer detection coverage. Build and tune detections, onboard useful telemetry, and maintain reliable log pipelines. Test rules against representative attacks and benign activity; address missing coverage and noisy alerts.
- Respond to incidents. Participate in the security on-call rotation and incident response, including scoping, containment, recovery, and post-incident improvements. Preserve evidence and coordinate changes with system owners.
- Build AI-assisted security workflows. Automate evidence collection, alert enrichment, investigation timelines, and response preparation. Connect agents to approved tools and data sources so they can complete bounded tasks with traceable results.
- Verify before trusting. Evaluate AI-assisted workflows against known cases and adversarial inputs. Require evidence for conclusions, test false-positive and missed-threat behavior, and keep human approval for disruptive containment actions.
- Reduce operational exposure. Partner with Infrastructure and IT on vulnerability remediation, cloud and host hardening, identity controls, and attack-surface monitoring. Prioritize findings by exposure and impact, then verify remediation.
- Help secure agent operations. Work with platform and product-security partners on operational controls for agent identities, credentials, tool access, and audit logging. Investigate misuse and build detections for suspicious agent behavior.
- Improve how the team works. Share reusable code, investigation skills, runbooks, and evaluation cases. Pair with teammates, review automation, and teach approaches they can apply to their own investigations.
- Measure defensive outcomes. Track detection coverage, alert quality, investigation effort, response time, and remediation progress. Use those measures to decide what to improve next.
WHAT WE ARE LOOKING FOR
- Hands-on security operations experience spanning detection engineering, threat hunting, and incident response.
- Strong scripting and software-building ability, especially Python; experience with APIs, version control, tests, and operating automation in production.
- Experience with a SIEM such as Panther, Splunk, or an equivalent platform, including detection logic and log analysis.
- Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems. Ability to investigate across system boundaries.
- Evidence of building and using AI-assisted tools in security or adjacent engineering work. You can show how you validate outputs, handle failures, and protect sensitive information.
- Sound incident judgment: you can separate a hypothesis from a finding, preserve evidence, and choose when to escalate or contain.
- A record of making teammates more effective through tools, mentoring, code review, or documentation, without needing management authority.
- Clear written communication and the willingness to own both urgent investigations and the follow-through that prevents repeat incidents.
HELPFUL EXPERIENCE
- AWS, Kubernetes, bare-metal infrastructure, detection-as-code, or SOAR workflows.
- Digital forensics, threat intelligence, or testing detections through attack simulation.
- Securing AI agents and tool integrations, including prompt injection, credential misuse, and data-exfiltration risks.
- Blockchain infrastructure or other environments with sensitive keys and high-impact production systems.
WHAT SUCCESS LOOKS LIKE
- Investigations reach evidence-backed conclusions faster. Detection coverage improves, repeat noise declines, and remediation is verified. The team adopts tools and workflows you've built, with clear limits on what agents may do and a tested path for handling failures.
BENEFITS & PERKS
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/
Location: New York City Metropolitan Area; Manhattan, New York; New Jersey; Brooklyn, New York; Boston, Massachusetts; Connecticut; Pennsylvania; Trenton, New Jersey; Newark, New Jersey
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: San Francisco; New York City
Workplace: Remote
About Pinecone:
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
What We Are Looking For:
We are looking for individuals who are accustomed to solving the enterprise market’s most complex problems. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support Proof of Concepts, and ultimately close business.
About the Role:
As a Pinecone Solutions Engineer, you must share our passion about reinventing the Data Cloud space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with officials and talking shop with technical audiences.
In this role, you will:
- Present Pinecone technology and vision to officials and technical contributors at prospects and customers
- Work hands-on with prospects and customers to demonstrate and communicate the value of Pinecone technology throughout the sales cycle, from demo to proof of concept to design and implementation
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Pinecone in relation to them.
- Collaborate with Product Management, Engineering and Marketing to continuously improve Pinecone’s products and marketing
Preferred Background:
- 5-7 years of enterprise experience in a customer and prospect facing pre-sales role
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
- Hands-on expertise with SQL and SQL analytics
- Ability to connect a customer’s specific business problems and Pinecone’s solutions
- Broad knowledge of cloud platforms; AWS, Azure & GCP is preferred
- University degree in computer science, engineering, mathematics or related fields or equivalent experience preferred
- Skills in Data Science and Data Applications Development, including knowledge of; Scala, Python and JavaScript is a bonus
Perks & Benefits:
- Comprehensive health coverage including Medical, Dental, Vision
- Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions
- Equity award
- 401(k)
- Flexible time off
- Paid parental leave
- Annual Department Retreat
- WFH Equipment Stipend
Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We are hiring an Engineering Manager to lead the Device Trust Platform team, the group responsible for the lower-level platforms that power 1Password Device Trust and that will, over time, underpin Device Security and the broader 1Password security platform. These systems ingest, process, and store a high volume of telemetry from the devices our customers depend on. Our customers expect this to work with Tier 0 reliability: the services this team owns are always on, and when something fails, it fails over without anyone noticing.
This is an end-to-end team responsible for the data pipelines, storage systems, and infrastructure that keep the product reliable at scale, as well as the application code that runs on top of them. You will lead a group of senior and staff engineers who are already deep in this architecture, and you will grow the team over time, adding engineers as the platform's scope expands and onboarding new hires into a team with high operational standards.
You will be responsible for the resiliency and reliability of our applications. That means owning availability targets, incident response, capacity, and the architectural decisions that keep a multi-region system honest. It also means running a healthy engineering team: planning, design reviews, career growth, and hiring. The role reports to the Senior Manager, Engineering for Device Trust.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 3+ years managing and mentoring software engineering teams, including senior and staff engineers, with a track record of engineers growing in scope and seniority under your leadership.
- A strong background in the infrastructure behind highly reliable, high-volume data systems: ingestion pipelines, streaming or queueing systems, large datastores, and the operational tooling around them.
- Hands-on experience operating multi-region systems with failover and redundancy, and owning availability for a service customers treat as critical: SLOs, incident response, postmortems, and the follow-through that keeps incidents from recurring.
- Experience owning production observability: instrumentation, dashboards, alerting, and using telemetry to drive reliability and capacity decisions. Datadog experience is strongly preferred.
- Significant hands-on development experience and strong technical judgment: you can review the code your team writes and partner with staff engineers on architecture and system design.
- Demonstrated success leading a hybrid team that spans infrastructure and application engineering on one roadmap.
- A leadership style grounded in empowering the team: you set direction, clear the path, and defer to the engineers closest to the problem, staying calm and structured under pressure.
- Excellent communication with technical and non-technical stakeholders, including explaining reliability risk and trade-offs to product and leadership partners.
Bonus points for:
- Experience with Ruby on Rails applications at scale, or with Go services and agent-based data collection.
- Experience with osquery, endpoint telemetry, or other device-data pipelines.
- Experience running Kubernetes-based platforms on AWS or another major cloud, including infrastructure-as-code.
- Experience managing remote and distributed teams.
- Experience building systems that balance rapid iteration with enterprise-grade security and compliance requirements.
- Deep experience with Datadog, including APM, log management, custom metrics, and SLO-based monitoring.
What you can expect:
TEAM LEADERSHIP
- Lead, coach, and grow a team of senior and staff engineers who own the platform layer of Device Trust, measuring your success by the team's success rather than your own visibility.
- Hire, onboard, and integrate new engineers as the team grows and as Device Security and other 1Password products come to depend on these platforms.
- Give engineers room to design the solutions they believe are right for customers, while holding them accountable to outcomes. The team closest to the problem makes the technical call; you make sure they have the context, time, and support to make it well.
- Spend your time listening and removing obstacles: unclear priorities, missing context, cross-team dependencies, and process that slows the team down. Advocate for the team's needs with leadership and partner teams.
- Support career development through regular feedback, mentorship, and growth planning, including the path from senior to staff.
- Foster a culture of ownership, trust, and psychological safety, where incidents produce learning rather than blame, and lead by example on transparency, follow-through, and humility.
RELIABILITY AND OPERATIONS
- Own the reliability and resiliency of Device Trust applications and the platforms beneath them, against a Tier 0 expectation from customers.
- Define and maintain SLOs, error budgets, and the monitoring and alerting that make them meaningful.
- Lead the on-call program for the team: rotation design, escalation paths, and runbooks that let any engineer respond with confidence.
- Run incident response and blameless postmortems, and drive remediation work to completion.
- Plan and execute multi-region failover, disaster recovery, and capacity work, and verify it with regular exercises rather than assumptions.
OBSERVABILITY
- Own observability for the Device Trust platform as a product in its own right: metrics, logs, traces, and the dashboards, monitors, and SLOs built on them in Datadog, our observability platform.
- Continue the work already underway on the team to instrument services end to end, so that latency, throughput, error rates, and data freshness are visible per customer, per region, and per pipeline stage.
- Make the health of the platform legible to people outside the team, including support, product, and leadership, through dashboards and status reporting that answer "is it working" without an engineer in the loop.
- Treat alert quality as an engineering problem: reduce noise, tie alerts to SLOs, and ensure every page has a runbook and an owner.
- Use observability data to drive capacity planning and to find reliability risk before it becomes an incident.
TECHNICAL DIRECTION
- Partner with staff engineers to evolve the data ingestion, processing, and storage architecture so it scales ahead of customer growth.
- Set the technical direction for how these platforms generalize to serve Device Security and future products, not only Device Trust.
- Maintain a high bar for performance, security, and data integrity in a security-first enterprise environment.
- Identify and mitigate risks introduced by architectural change, migrations, and new dependencies before they reach production.
DELIVERY AND PLANNING
- Scope, plan, and drive execution of platform initiatives with the team, balancing reliability investment against feature work.
- Coordinate cycle planning, design reviews, and project planning so the team ships predictably.
- Cascade priorities, progress, and risk to stakeholders across Device Trust and partner teams, keeping roadmaps transparent.
- Contribute to cross-team and departmental initiatives that raise the reliability bar across the engineering organization.
USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc
Your Role:
In this role, you’ll help evaluate, implement and maintain Tenable’s cybersecurity systems. You’ll work alongside Security Engineers, Analysts and the Digital Solutions Department to protect the confidentiality, integrity and availability of Tenable’s assets.
Your Opportunity:
Help evaluate, deploy and improve security solutions across on-premise, cloud and SaaS environments
Identify opportunities to improve the resiliency and quality of security systems and applications
Support maintenance of security tooling and appliances
Assist in identifying and remediating threats and risks reported by Security Analysts, assessments or third parties
Participate in security reviews of SaaS, on-premise, and AI-enabled products (including LLM integrations, MCP servers and agentic tools), with guidance from senior engineers
Help apply baseline AI security controls: least-privilege access, no static credentials, scoped tokens, logging/auditing of agent activity, and data handling guardrails
Support detection and monitoring use cases for AI and agentic workloads
Document projects and write Standard Operating Procedures
Build strong working relationships across the team and with partner groups
Manage your time and responsibilities, set accurate expectations and meet deadlines
Provide infrequent, as-needed off-hours support
Other duties as assigned
What You’ll Need:
Working knowledge of securing Windows, Linux, mobile devices and cloud (IaaS) environments
Familiarity with security architecture and review methodologies (e.g., threat modeling, STRIDE)
Foundational understanding of network security (IDS/IPS, web proxies, traffic analysis) and the TCP/IP stack and common protocols (DNS, SMTP, DHCP)
Familiarity with authentication and access concepts: SSH, LDAP, SSO/OAuth/OIDC, RBAC, MFA
Understanding of Zero Trust and cloud security principles
Hands-on experience with
2 or more
of: EDR/antivirus, SIEM/log correlation, CASB, web proxies, PAM, MDM, DLP, email security/DMARC
Basic understanding of AI/LLM security risks (prompt injection, data leakage, excessive agent permissions, supply chain risk) and curiosity about MCP and agentic architectures
Scripting or automation ability (Python, Bash or PowerShell) is a plus
BA/BS in Computer Science, IT or a related field, SANS training, or equivalent experience
3-5 years
of Information Security experience; some cloud experience preferred
Security+, GIAC, AWS security or similar certifications are a plus
Self-motivated, with a passion for cybersecurity and a willingness to innovate
Able to work effectively in an agile environment, with growing independence
Hybrid/on-site at our Columbia, MD headquarters
#LI-Hybrid
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$102,500
—
$136,500 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they’re looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience.
You will lead a team of software engineers spanning two closely connected charters:
Consumer AI:
customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance.
Search:
native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results.
Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You’ll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence.
Responsibilities
Delivery & Ownership
Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk.
Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services.
Ensure the team’s work meets Fanatics standards for data governance, security, compliance, and responsible AI.
Own on-call, incident response, and operational health for the team’s systems.
Strategy & Roadmap
Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities.
Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters.
Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars.
Guide how LLMs and ML models are evaluated, integrated, and rolled out in production.
Communication & Collaboration
Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery.
Represent the team’s plans, progress, and risks in planning and review forums.
Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback.
People & Ways of Working
Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same.
Mentor engineers on craft, ownership, and collaboration, and support their career growth.
Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably.
Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building.
Qualifications
We value aptitude over experience, but here are some key skills that will make you successful on this team:
1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems.
Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred.
Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable.
Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other.
Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership.
Proven ability to mentor engineers and build a healthy, high-performing team culture.
Preferred
Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations).
Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce.
Experience building shared platforms consumed by multiple product teams.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$190,000
—
$237,500 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Prague
Workplace: hybrid
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
The Depo Intelligence team powers the AI behind Filevine's deposition product line. We deliver automated post-deposition transcript analysis, timelines, summaries, and witness impressions. Our latest product, Depo Copilot, assists attorneys during deposition preparation and delivers real-time insights during live proceedings. Additionally, our intelligent insights extend support to the Filevine Meetings and Notetaking apps.
As the Tech Lead for Depo Intelligence, you will drive the technical direction of our AI systems. This is a hands-on machine learning role requiring strong software engineering skills. You will spend your time designing and building LLM pipelines and evaluations, as well as leading the team's architectural and design choices. You will collaborate closely with the team's Engineering Manager, who handles people management and delivery, allowing you to focus squarely on technical leadership.
Key Responsibilities
Own the technical vision and system architecture for machine learning workflows driving Depo Copilot, Depo Summaries, and the Meetings and Notetaking app.
Architect and build LLM pipelines capable of reasoning over extensive case files and real-time transcripts, ensuring all outputs are fully grounded in source material.
Determine optimal model strategies - evaluating when custom fine-tuning or trained models are required over prompt engineering - and lead implementation.
Establish evaluation frameworks alongside our legal experts and annotators, creating custom datasets, rubrics, offline metrics, and release checks to proactively prevent regressions.
Optimize pipeline efficiency, latency, and operational costs for live streaming analysis using strategic model selection, fallbacks, and precomputation.
Transition prototypes into production-grade systems with typed contracts, test coverage, tracing, and observability, serving as technical lead for incident response during live proceedings.
Author design documents, guide architectural decisions, and partner with Product, product engineering, speech recognition, and document retrieval teams to translate roadmap goals into actionable technical plans.
Mentor machine learning engineers through detailed code reviews, pair programming, and design feedback while clearly communicating technical outcomes and tradeoffs to business stakeholders.
Who are you?
Minimum of 5 years of experience building production ML or software systems, including at least 3 years in machine learning roles with end-to-end project ownership.
Proven track record of technical leadership, including conducting design reviews, setting architectural direction, and mentoring engineers.
Strong background in NLP and production LLM systems, encompassing retrieval and grounding, long-context reasoning, structured outputs, evaluation, and mitigation of common failure modes.
Experience designing evaluation frameworks for generative AI systems, including developing datasets and rubrics in collaboration with domain experts and annotators.
Solid software engineering foundations, including API design, data modeling, distributed and asynchronous workflows, testing, and fault tolerance.
Advanced proficiency in Python, alongside hands-on experience with PyTorch or other deep learning frameworks.
Experience with real-time/streaming systems or legal domain NLP is a plus.
Strong written and verbal communication skills in English, a collaborative team spirit, and an autonomous problem-solving mindset.
Ability to meet periodically at our Prague or Bratislava office to support in-person collaboration.
Our current stack primarily utilizes Python (DSPy, Pydantic, Temporal), PostgreSQL, Kubernetes, AWS, Google Cloud, and multi-provider LLMs; strong core engineering skills are prioritized over familiarity with specific tools or frameworks.
Compensation starts at 190,000 CZK per month, with the final offer determined by the candidate’s seniority and experience.
This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction.
This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements
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Location: Pennsylvania; Massachusetts; Maryland; Connecticut; New Jersey; Delaware; Rhode Island
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it.
Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely.
We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences.
What You'll Do
You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
You have a total of 8+ years of experience as a software engineer.
You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes
You are proficient in developing web apps using declarative UI frameworks like React or Vue.
You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Base Pay Grade
- P
Equity Grade
- 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $181,000 - $241,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it.
Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely.
We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences.
What You'll Do
You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
You have a total of 8+ years of experience as a software engineer.
You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes
You are proficient in developing web apps using declarative UI frameworks like React or Vue.
You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA Pacific base pay range (CA, WA, NY, NJ, CT):
$230,000 - $290,000
USA Sapphire base pay range (all other U.S. states):
$204,00 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join a front-office aligned development environment supporting execution activity across multiple asset classes. The role focuses on building and maintaining tools that support both voice and electronic trading, with close interaction with business users and rapid feedback cycles. The environment is delivery-focused, with a strong emphasis on ownership, reliability, and responsiveness to changing business needs.
Your future role within QRT
Develop and maintain tools that support execution workflows across voice and electronic trading
Build dashboards and visualisation tools to improve transparency and decision-making for trading activity
Deliver features in a highly collaborative environment with fast iteration and immediate user feedback
Take ownership of production systems, ensuring stability, reliability, and alignment with business objectives
Evolve and extend the technology stack in response to changing execution and market requirements
Your present skillset
5+ years of professional experience as a software engineer
Strong experience delivering and supporting production-quality Python/C/C++/Java/C# applications
Ability to manage competing priorities and work effectively in a collaborative environment
Excellent communication and interpersonal skills
Experience working in a front-office or execution-adjacent context
Familiarity with cloud platforms such as AWS
Exposure to additional production programming languages
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Задачи:
— разработка решений на Python для обработки и преобразования данных;
— построение автоматизированных workflow с использованием Apache Airflow, включая планирование, управление зависимостями, мониторинг и обработку ошибок;
— создание и поддержка Docker-окружений для воспроизводимого выполнения задач;
— интеграция источников данных, API и вычислительных инструментов в автоматизированные процессы;
— повышение надёжности, масштабируемости и сопровождаемости пайплайнов через тестирование, логирование и оптимизацию производительности;
— сотрудничество с инженерными и научными командами.
Требования:
— сильные навыки программирования на Python и опыт разработки решений для обработки данных;
— практический опыт работы с Apache Airflow или аналогичными оркестраторами;
— опыт с Docker и контейнеризацией;
— практический опыт с PostgreSQL и/или Snowflake;
— понимание ETL/ELT-процессов, интеграции данных и автоматизации workflow;
— умение разбираться в сбоях пайплайнов и строить надёжные сопровождаемые решения.
Плюсом будут:
— опыт с другими оркестраторами;
— знакомство с AWS;
— опыт проектирования и интеграции API;
— знание Kubernetes и GitOps;
— опыт разработки AI-приложений;
— бэкграунд в life sciences, вычислительной химии, биоинформатике или поиске лекарств.
Условия:
— работа удалённо;
— полная занятость;
— сотрудничество по B2B-контракту с выплатами в USD или EUR либо по трудовому договору.
УдалённоГеография найма не уточнена
УдалённоleadBrazil
УдалённоRemote, California, United States, AMER; Experience managing distributed teams across multiple regions and time zones
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоNew York City Metropolitan Area; Manhattan, New York; New Jersey; Brooklyn, New York; Boston, Massachusetts; Connecticut; Pennsylvania; Trenton, New Jersey; Newark, New Jersey
УдалённоSan Francisco; New York City
УдалённоRemote (United States | Canada)
US - Headquarters - Maryland - Columbia
New York, NY, United States
ГибридleadPrague; Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements
УдалённоPennsylvania; Massachusetts; Maryland; Connecticut; New Jersey; Delaware; Rhode Island
УдалённоNew York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
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