Clover is reinventing healthcare by working to keep people healthier.

We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the team and culture that we are building, looking for engineers that are not only strong in their own aptitudes but care deeply about aiding in each other's growth.

We’re looking for a Machine Learning Engineer II to help us build a revolutionary new health care business. Counterpart Health uses Machine Learning (including NLP/LLMs) to leverage our data to help keep patients healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML infrastructure is central to working on our central mission, and has a direct impact on improving clinical care. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the ML capabilities of our Platform.

As a Machine Learning Engineer II, you will: 

• Create, debug, interpret and improve production ML models.
• Design, implement and validate pieces of our high-reliability, distributed platforms for ML.
• Build the tools and validation processes that help Counterpart translate insights into action at scale.
• Use existing commercial and open source tools to create a robust production platform.
• Work closely with Counterpart’s Data Science and Engineering teams to ensure that the ML platform is providing real value.
• Document, iterate, and provide tutorials to ensure Data Scientists and Engineers are able to use your tools easily.

Success in this role looks like:

• Within 90 days: Successfully able to deliver a well-scoped project that improves machine learning models or systems. 
• Within 6 months: Able to increasingly own larger pieces of the system and work more autonomously in places you have experience.
• In the future: Growing in ownership to increasingly large and complex pieces of our ML models and systems.

You will love this job if:

• You want to create impactwith your work by finding ML-driven insights in the data to unlock value and improve health outcomes for real people.
• You are comfortable acting autonomously on tasks in ambiguous and changing environments.
• You value collaboration and feedback. You can communicate technically in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
• You enjoy working in a fluid environment, defined by priorities that adapt to our larger goals. You can bring clarity to ambiguity on projects while remaining open-minded to new information that might change your mind.
• You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

• You have 3+ years of experience in Machine Learning Engineering or related roles in technology enabled companies, healthcare experience preferred but not required. 
• You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
• You have a solid foundation in feature engineering, feature selection, and AI techniques.
• You have experience interpreting, modifying, and debugging the inputs and outputs of production ML models.
• You have both built and refactored parts of distributed systems, especially ML systems.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Reimbursement for office setup expenses
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

#LI-REMOTE

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

The Role:

DailyPay is looking for a Senior Data Engineer to join our Data Engineering Team. The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (sales, marketing, operations, engineering, etc.) as well as by DailyPay partner companies. The team also ingests internal and external data to help provide insights about the payroll industry in general, as well as about personal finance and financial wellbeing.

If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.

How You Will Make an Impact:

• Build and maintain company’s ETL/ELT infrastructure and data pipelines
• Design and implement data testing / scaling capabilities for data pipelines
• Maintain and optimize monitoring and alerting for company’s ELT, data pipelines, data warehouse, and analytics infrastructure
• Optimize database performance while reducing warehouse costs and development times
• Participate in code approvals and PR review process for company-wide analytics engineering efforts
• Architect data lakehouse for DailyPay to use as the single source of truth for internal and external client reporting/analytics

What You Bring to The Team:

• 7+ years SQL experience; expert SQL capability
• Familiarity with BI tools such as Tableau, Looker, Metabase or similar
• Experience in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses
• Excellent communication skills including experience speaking to technical and business audiences and working globally
• 2+ years Python experience
• 1+ years of dbt experience
• Experience with Snowflake, Redshift, and ETL tools like Fivetran, Qlik Replicate or Stitch is a plus

What We Offer:

• Exceptional health, vision, and dental care
• Opportunity for equity ownership
• Life and AD&D, short- and long-term disability
• Employee Assistance Program
• Employee Resource Groups
• Fun company outings and events
• Unlimited PTO
• 401K with company match

#BI-Remote #LI-Remote

Hi, we're Oscar. We're hiring a Senior Software Engineer, IAM to join our Engineering team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

The Senior Software Engineer is responsible for designing, developing, and maintaining high-quality software solutions with a focus on identity management and authentication. This role requires a deep understanding of Python or other languages, as well as expertise in web backends like flask,  and  identity protocols such as SAML, OIDC, and SCIM. The Senior Software Engineer will work closely with cross-functional teams to implement and manage identity tooling and governance engines.

You will report to the Senior Engineering Manager.

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.  

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses. 

Responsibilities

• Design, develop, and maintain software applications using Python & Javascript
• Experience with modern web back and frontend React, Flask, Twisted, and similar technologies
• Implementation of identity protocols such as SAML, OIDC, OAUTH2 and SCIM
• Work, and collaborate with cross-functional teams, on customer identity tools and integrations such as (FusionAuth, Auth0, Ory, Keycloak, Zitadel, Stytch, Propelauth, Clerk, Frontegg, or Supertokens).
• Work, and collaborate with cross-functional teams, on governance engines such as IIQ
• Integrate and optimize workforce identity tools like Okta into SAAS tools
• Deploy, monitor and manage the deployment of tools in Kubernetes
• Assist in creating training and user documentation, and maintain ongoing documentation for processes
• Troubleshoot and resolve issues related to identity management and authentication tools.
• Perform additional tasks related to software development as needed.
• Other duties as assigned.

Qualifications

• 6+ years of software engineering experience with ideally a focus on identity management and authentication.
• 3+ years of experience with Python, React, etc.
• Strong understanding of identity protocols such as SAML, OIDC, and SCIM.

Bonus Points

• Experience with identity tools such as FusionAuth, Auth0, Ory, Keycloak, Zitadel, Stytch, Propelauth, Clerk, Frontegg, or Supertokens.
• Experience with identity governance engines like SailPoint IdentityIQ (IIQ).
• Experience with Java
• Knowledge of best practices in identity management and data security.
• Experience in the healthcare or health insurance industry

The Role 

An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $118,000 - $184,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

What You'll Do 

• Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
• Collaborate with clients to determine data engineering and analytical needs.
• Lead development of key features from requirements definition through delivery.
• Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
• Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
• Ensure the product remains competitive by staying current with trends in data lake house technologies.
• Regularly communicate updates to collaborators and gather customer feedback.

Who You Are 

• 5+ years of product management experience, ideally with data platforms or engineering products.
• Proficient in data lake house technology and data workflows.
• Technical skills in SQL, Python, and data engineering concepts.
• Proven track record to handle data-intensive product development and client-facing requirements.
• Excellent communication and cross-functional collaboration skills.

Preferred Skills

• Hands-on experience with Databricks or similar data platforms.
• Familiarity with financial services platforms like Addepar.
• Preferred experience with a scrum-based agile development process.

The Role

We are seeking a Sr. Software Engineer to join our Reference DataTeam!

The reference data team at Addepar is responsible to manage the data reconciliation and curation process for market data providers to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio.

As an engineer on the team you will partner with product teams at Addepar to understand their business needs. You’ll contribute to increasingly challenging engineering projects with the ultimate goal of enabling solutions on and effective use of the data platform.

Our engineering team primarily works with PySpark, Python, AWS, Terraform, Java, and Kubernetes. We use Agile methodologies to deliver on business outcomes.

What You’ll Do

• Design, implement, and deliver significant projects on our data platform to solve complex business problems
• Collaborate with different collaborators to build data pipelines 
• Advocate for standard methodologies and improvements in code and processes

Who You Are 

• Several years experience as a professional software engineer
• A Bachelor's degree or equivalent experience
• Proficiency with object oriented programming languages
• Proficiency with relational databases
• Rapid learner with strong problem solving skills
• Interest in building data pipelines and in working with Big-data
  
  

The Role

We are seeking an experienced and highly motivated Engineering Manager to lead the Reference Data Team in the UK, a critical component of the Addepar Platform team. The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools.

The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modelling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers. The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios.

As the Engineering Manager, you will play a crucial role in leading and managing a team to deliver complex engineering projects using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes, microservices, and more.

What You’ll Do

• Drive the technical direction in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community.
• Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time.
• Lead a team to build frameworks that supports highly performant ingestion and distribution of financial data.
• Advocate for standard methodologies, find opportunities for automation and optimizations in processes to increase throughput , latency and accuracy.
• Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency
  
  • Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement.

  Who You Are 

  • 2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor.
  • A computer science degree or equivalent experience.
  • Strong problem-solving and decision-making skills.
  • Prior experience with distributed systems, microservices and messaging queues.
  • Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines
  • Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
  • Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in the U.S., Acquia is a Great Place to Work-Certified^TM company in India, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it!

About the role…
As a Senior Data Engineer with expertise in building Enterprise Data Platforms (EDP), you will play a pivotal role in creating a robust and scalable data infrastructure. You will be responsible for designing, building, and maintaining data pipelines that will power various analytics and AI-driven products across the company.

Job Responsibilities:

• Data Pipeline Design & Development: Lead the design, development, and optimization of data pipelines that enable the collection, transformation, and storage of data from multiple sources like OLTP databases, operational applications (Salesforce, Jira), event collectors, logs, 3rd-party APIs, and file storage (e.g., S3).
• Ingestion & Integration: Build and manage data ingestion processes using tools like Meltano and orchestrate workflows with Dagster, ensuring scalability and real-time data processing.
• Data Storage & Management: Implement data storage solutions leveraging Snowflake for data warehousing and S3 for data lakes, optimizing for cost, performance, and security.
• Data Transformation: Work with the data transformation layer using dbt and ensure seamless integration with orchestration layers to maintain real-time and batch processing efficiency.
• Data Governance: Establish data governance frameworks and data catalogs (e.g., DataHub) to ensure data quality, discoverability, and security across the platform.
  Collaboration: Collaborate with stakeholders across the organization, including data scientists, product managers, and business analysts, to translate business needs into technical solutions.
• Real-Time Analytics: Implement real-time analytics solutions by building and maintaining a vector database and real-time analytics database to support machine learning models and predictive analytics.
• Semantic Layer & AI Integration: Design and implement a semantic layer (e.g., cube.js) to facilitate user-facing analytics while integrating AI services and vector databases for advanced analytics.

Skills:

• 5+ years of experience in data engineering or data platform development.
• Experience with data engineering tools and frameworks (e.g., Meltano, dbt, Dagster).
• Strong hands-on experience with data lakes (e.g., S3), and data warehouse tool - Snowflake
• Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in SQL,Python, and ETL/ELT design patterns.
• Understanding of real-time analytics and vector databases.
• Strong knowledge of data governance practices and cataloging tools like DataHub.
• Experience working with cross-functional teams and translating business needs into technical requirements.
• Proven expertise in building enterprise-level data platforms.
• Experience with real-time data processing and analytics tools.

Preferred Qualifications: 

• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Familiarity with dashboarding and reporting tools like Domo.
• Experience with AI/ML-driven platforms and integrating AI services for advanced analytics.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!

Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

Senior Security Analyst

US-Remote

Who we are

Are you passionate about innovating at the intersection of technology and personal security? At Pindrop, we recognize that the human voice is a unique personal identifier, increasingly susceptible to sophisticated fraud, including the threat of deepfakes. We're leading the way in developing cutting-edge authentication, fraud prevention, and deepfake detection. Our mission is to provide seamless and secure digital experiences, safeguarding the most personal aspect of our identity: our voice. Here, you'll be part of a team driven by values of Innovation, Customer Advocacy, Excellence, and Impact. We're not just creating a safer digital landscape by fortifying trust and integrity with those we serve, we’re also building a dynamic, supportive workplace where your contributions make a real difference.

Headquartered in Atlanta, GA, Pindrop is backed by world-class investors such as Andreessen-Horowitz, IVP, and CapitalG.

What you’ll do 

• Represent security in internal and external meetings to discuss security analysis, findings and security/compliance responses. 
• Review past incidents and identify attack trends. Finetune and reconfigure alerts based on prior incidents to improve detection.
• Actively participate in the development, documentation, and implementation of new processes to expand and mature capabilities for the organization.
• Identify and track internal and external assets to identify potential risks. Communicate these risks to internal and external stakeholders and build a plan of action.
• Develop, update, and maintain a repository of cybersecurity threat information that may be used in conducting risk assessments and reports on cyber risk trends.
• Build and maintain tools for automation of security events and reporting. Optimize and reconfigure tools to improve security processes.
• Implement, maintain and monitor IDS/IPS rule sets, alerts and reports.
• Perform investigations and improve detection processes on a wide variety of security events from various sources to determine whether they pose a threat to Pindrop
• Identify, research and develop internal and open source tools used to improve security and threat intelligence workflows to support Pindrop's unique environment
• Collaborate with internal and external teams to answer customer questionnaires, compliance audits.

Who you are

• You are, hands-on problem solver that excels in dynamic fast paced environments, curious and always looking to learn., highly interested in how things work and gets excited by threat modeling and new exploits
• You are resilient in the face of challenges, change, and ambiguity
• You are optimistic and believe that you can make a problem into a solution
• You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed
• You take accountability, do the things you say you’ll do, under-promise and over-deliver
• You are nimble and adaptable when priorities change and continue to see the “forest through the trees” 

Your skill-set: 

• 2+ years of security monitoring and incident response experience
• Must have experience with Linux, Mac, and knowledge of Windows
• Experience in configuration and maintenance of endpoint security solutions, eg. Crowdstrike, SentinelOne, Carbon Black.
• Experience with security tools including SIEM, Metasploit, Splunk, Wireshark
• In-depth knowledge of SIEM log ingestion and alert creation.
• Hands-on experience with TCP/IP and networking
• Ability to write scripts/code using Python or other scripting languages for automation
• Knowledge of incident response and investigation tools and techniques
• Experience with security operations in cloud platforms such as AWS, GCP, Azure etc.
• Experience responding to security questionnaires and customer questions

Nice to have:

• Experience with forensic analysis tools (commercial and open-source) and procedures desired
• Experience with threat feeds and threat intelligence (e.g., STIX, TAXII, IOCs) desired
• Experience with cloud logging applications, AWS Cloudtrail, VPC Flow Logs, Lambda, etc.

What’s in it for you:

As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days.

Within 30 days:

• You’ll focus on training and learning the basics of the company. This includes the company’s systems, procedures that should be adhered to, products and services, software, vendors, and/or clients.
• You’ll have been introduced to your team, colleagues and have 1:1’s to assimilate into the company culture.
• You will have the opportunity to learn the product in and out through training and a variety of resources. This then means that the majority of the things-to-do should fall along the lines of attending training sessions, gaining and mastering product knowledge, learning major corporate systems, meeting the members of your team, and getting the necessary access. 

Within 60 days:

• You’ll have a good grasp of your working environment and you can now move onto more advanced tasks. 
• You will start studying the best practices in the industry, create goals, meet up with your supervisor and get feedback on your performance, and build meaningful relationships with your co-workers along with taking on proper job responsibilities.  

Within 90 days

• You’ll demonstrate a firm grasp of the company and confidence in your job function. Thus, you should be preparing to make breakthrough contributions to your team or department. 
• The contributions may include finding new ways to improve security or coming up with ideas to save the company money. Instead of only identifying problems in the company, you should be at the forefront of brainstorming possible solutions. 
• You will be able to spearhead new initiatives and collaborate with other teams for the good of the company. 

What we offer

As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• 4 company-wide rest days in 2024 where the entire company rests and recharges!
• Remote-first culture

What we live by

At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work:    

• Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible.
• Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion.   We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. 
• Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time.
• Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. 
• Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world.

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

#LI-Remote