Flagler Health is building the clinical operating system for modern musculoskeletal care.
We partner with MSK provider groups and specialty clinics to help them grow, operate more efficiently, and deliver better longitudinal care across patient acquisition, clinical workflows, and ongoing patient engagement. Our platform sits at the intersection of care delivery and clinic operations, helping providers capture more value across the full patient lifecycle.
We’ve recently raised our Series B and are entering our next phase of growth.
This is a foundational executive leadership role responsible for scaling the engineering organization, the technical infrastructure, and the company's operational maturity.
As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while shaping the systems, processes, and architecture required to support a rapidly growing healthcare platform operating in a regulated environment.
Success in this role means building a high-performing engineering culture, delivering reliable, scalable systems, and laying the technical foundation for long-term business growth.
Lead, mentor, and scale a distributed engineering organization across NYC and Vancouver
Own engineering recruiting strategy, hiring standards, organizational design, and headcount planning
Define and drive technical strategy across backend services, infrastructure, integrations, and platform architecture
Guide scalability and reliability initiatives for systems supporting real-time patient communications (audio and SMS) and asynchronous workflow processing
Own infrastructure strategy, including cloud architecture, CI/CD, observability, deployment automation, and operational excellence
Establish engineering best practices for security, compliance, resiliency, and performance in a HIPAA-compliant environment
Partner closely with Product and Operations leadership to align engineering priorities with company goals and roadmap execution
Improve engineering velocity, system reliability, and cross-functional collaboration as the organization scales
Proven experience leading, managing, and scaling a distributed engineering organization, including direct ownership of recruiting, hiring, and headcount planning.
Expertise in setting technical direction, architectural standards, and driving large-scale infrastructure decisions across backend services and complex integrations.
Deep experience establishing and enforcing engineering standards and operating compliant, fault-tolerant production environments, preferably in a HIPAA or other regulated industry.
Track record of driving and implementing reliability and scalability solutions, particularly for platforms handling real-time (audio/SMS) and long-running asynchronous data workflows.
Demonstrated ability to partner effectively with Product and Operations leadership to translate business priorities into a clear, actionable engineering roadmap.
Experience in healthcare technology or SaaS platforms at a medium-sized startup
Familiarity with HL7, FHIR, or EHR integrations
Experience with cloud platforms such as AWS, Azure, or GCP
Hands-on experience with CI/CD pipelines, infrastructure automation, and version control systems (e.g., Git)
Experience working in a monorepo setup (e.g., Turborepo, Nx)
Nice to have: Experience with distributed data or batch processing frameworks (e.g., Apache Spark, Databricks, or similar)
Nice to have: Exposure to DevOps practices, including containerization, observability, and deployment automation
Distributed remote team with hybrid offices in NYC and Vancouver
This role requires regular and consistent in-person collaboration
We maintain a highly collaborative culture with video-on team meetings and technical discussions
Apply to any one of the postings for this job. All applications from different job aggregators are sent to a single ATS and deduplicated internally.
Interviews:
Flagler intro: Q&A about who we/you are looking for in a new team member/team
Technical assessments: 2-3 (a mix of interview and take-home), depending on the candidate's level. No Leetcode. AI allowed.
Non-technical interviews with ops & c-suites: as many as you would like to get a sense of the company
Offer & background check
Our values
This is what you can expect of your teammates at Flagler:
Persistence + ownership of outcomes: We wear many hats and aren’t afraid to run through walls to solve hard problems.
Personal + professional growth: We push ourselves to learn new things and embrace challenges, even if it means that we sometimes fail.
Don’t take things personally: We value and react quickly to constructive feedback.
Speed is our ally: In the fast-paced world of startups, we understand the value of moving swiftly. We thrive on the adrenaline of working rapidly.
Be Right: We are highly detailed oriented and try to be right, a lot.
Listed by Flagler Health for a position based in the United States. Employers on this board attest they are hiring domestically.
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Cyber Security Intern
San Francisco Bay Area
Apply
Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview
As a Security Engineering Intern at Labelbox, you will work closely with our security team to strengthen and scale our enterprise security program. You will receive direct mentorship while gaining hands-on experience across cloud security, application security, SecOps, and compliance workflows. Your work will help improve the security posture of our infrastructure, services, and internal tooling. This is an hourly internship position.
Your Impact
Support day to day triage and analysis of incoming security issues, including operating our Vulnerability Management program.
Contribute to improving access workflows in our identity and access management systems.
Audit and refine access controls for core data platforms and cloud resources.
Assist in strengthening CI/CD security by integrating automated checks that enforce secure development practices early in the lifecycle.
Help operate and optimize our Security Information and Event Management (SIEM) platform by tuning alerts, improving log ingestion, and building lightweight automations.
Participate in major internal security initiatives, such as supporting a Cybersecurity Tabletop Exercise and documenting findings.
Research and evaluate enhancements to our security tool stack and contribute to related internal documentation and optimization efforts.
What You Bring
We are looking for a highly motivated and curious individual with a strong interest in the challenges of modern security engineering.
Currently pursuing a Bachelor's or Master's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
A demonstrated interest in cloud security, data security, and security operations.
High degree of ownership, initiative, and willingness to dive into complex technical problems.
Basic understanding of cloud platforms such as GCP, AWS, or Azure, as well as foundational database concepts including SQL or data warehousing.
Demonstrated ability to integrate modern AI tools and local LLM agents (such as Cursor or Claude Code) into your workflow to increase efficiency and solve technical problems faster.
Strong analytical, organizational, and time management skills.
Excellent written and verbal communication abilities, including clear documentation of technical findings.
Curiosity, eagerness to learn, and a desire to grow through mentorship across diverse areas of security engineering.
Security Engineering at Labelbox
Our Security Engineering team partners closely with engineering and infrastructure teams to ensure we deliver secure, reliable, and trusted systems for our customers. We focus on building scalable security controls, driving secure development practices, and continually evolving our detection, response, and risk management capabilities. Interns on our team gain exposure to real world security challenges while contributing directly to initiatives that support Labelbox’s growth and security maturity.
See our recent Blog about security at Labelbox: https://labelbox.com/blog/engineering-trust-in-an-autonomous-world/
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$40 - $55 USD
Life at Labelbox
Location: Join our dedicated tech hub in San Francisco
Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility
Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
Growth: Career advancement opportunities directly tied to your impact
Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
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Listed by Labelbox for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Manager, Field Engineering - Strat Media , Los Angeles, California; Remote - California; San Francisco, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Outreach, founded in 2014, is the only complete platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
About the Team
This role will report into our Solutions Consulting team. The Solutions Consulting team is an integral part of the Outreach Go-To-Market function. We focus on driving real business impact for customers by being both technology and domain experts. We are expected to understand our customer’s challenges and objectives - then guide them toward lasting solutions. We do this by partnering with other functions, internally (professional services, product, engineering, success, marketing) and externally (partners).
The Role
Working in a fast-growth company means that no day is ever the same! Here are the main responsibilities and tasks you’ll undertake while working with us:
Listed by Outreach.io for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer - Data Infrastructure
Location
San Francisco HQ
Address
1098 Harrison Street, San Francisco, California, 94103
Employment Type
Full time
Location Type
Hybrid
Department
All Departments
Engineering
Compensation
Zone 1
$207.6K – $273.6K • Offers Equity
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Overview
Application
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.
Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.
Responsibilities
Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.
Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.
Debugging, troubleshooting, and reducing operational burden for our Data Platform.
Growing the team via mentorship and leadership, reviewing technical documents and code changes.
Qualifications
6+ years of software engineering experience
Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
Deep understanding of one of the below:
Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.
Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.
Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.
Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.
Nice-to-Have:
Experience with Databricks
Experience with Airflow
Experience with AWS EMR
Experience with Python
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
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Listed by Plaid for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Engineering Manager, AI Runtime, Mountain View, California; San Francisco, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Counsel, Product, Bellevue, Washington; Seattle, Washington; Washington, D.C.. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
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