Socure Logo

Socure

Head of Data, Machine Learning, and Application Platform

Job Posted 6 Days Ago Posted 6 Days Ago
Be an Early Applicant
Remote
5 Locations
230K-275K Annually
Senior level
Remote
5 Locations
230K-275K Annually
Senior level
Lead the data, machine learning, and application platforms at Socure, defining strategy, managing teams, and ensuring compliance for identity verification solutions.
The summary above was generated by AI

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:

https://www.youtube.com/watch?v=ifM9_jPQCv8

Socure is the leading provider of digital identity verification and fraud solutions. Our platform leverages cutting-edge AI and ML to drive trusted identity decisions at scale. By transforming how organizations verify and authenticate digital identities in real-time, we help our clients reduce fraud, streamline onboarding, and ensure compliance.

As the Head of Data, Machine Learning, and Application Platform at Socure, you will have a pivotal role in shaping our core technologies and driving innovation across our growing product and platform teams.

Responsibilities:

  • Vision & Strategy - Define and execute a multi-year strategy for Socure’s data, ML, and application platforms, ensuring alignment with our vision to eliminate identity fraud and verify “100% good IDs in real-time.” Collaborate with executive leadership to anticipate market trends and technology innovations that will maintain Socure’s competitive edge.
  • Data Platform Leadership - Lead the architectural design, implementation, and maintenance of a secure, scalable data platform optimized for real-time identity verification and fraud detection. Ensure that data lakes, pipelines, and storage solutions adhere to rigorous quality, governance, and compliance standards relevant to the financial services, healthcare, and other regulated industries.
  • Machine Learning & AI Innovation - Drive the development, deployment, and continuous improvement of ML models that power Socure’s identity verification and risk scoring products. Champion MLOps best practices, from model experimentation to production deployment, ensuring high availability and performance. Oversee research and development of emerging AI/ML techniques to keep Socure at the forefront of fraud prevention technology.
  • Application Platform Ownership - Define the roadmap for Socure’s application platform, balancing rapid feature delivery with system reliability, scalability, and security. Partner with product and engineering teams to create a seamless developer experience, leveraging modern DevOps and continuous integration/continuous deployment (CI/CD) practices.
  • Cross-Functional Collaboration - Work closely with Product, Engineering, Data Science, and Security teams to ensure platform solutions meet the evolving demands of Socure’s diverse client base. Align technical initiatives with business outcomes, demonstrating clear ROI and measurable impact on fraud prevention and customer satisfaction.
  • Team Building & Management - Recruit, develop, and lead high-performing teams across data engineering, ML engineering, data science, and software development. Foster a culture of innovation, ownership, and professional growth through mentorship, continuous learning, and performance management.
  • Risk & Compliance - Partner with Security, Compliance, and Legal teams to ensure that Socure’s data and machine learning processes comply with relevant regulations, such as GDPR, AML/KYC requirements, and other regional or industry standards. Implement robust governance frameworks and security practices to protect sensitive customer data.
  • Thought Leadership - Represent Socure in industry forums, conferences, and publications, showcasing our expertise and innovation in digital identity, fraud detection, and data science. Stay current with evolving technologies, regulations, and best practices to drive continued product and platform excellence.
  • Budgeting & Resource Allocation - Forecast and manage budgets for data, ML, and platform initiatives, ensuring efficient allocation of resources. Evaluate and guide decisions on technology investments, vendor partnerships, and infrastructure expansions.

Qualifications:

Required:

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s or PhD in a relevant discipline preferred.
  • Experience: 12+ years of experience in data engineering, ML, or software engineering, with at least 5 years in a "Leaders of Leaders" leadership role.
  • Technical Expertise: Strong background in modern data architectures, distributed systems, and cloud platforms (AWS, Azure, or GCP). Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps pipelines, and real-time data streaming solutions (e.g., Kafka). Familiarity with Python, Scala, or Java, as well as containerization (Docker, Kubernetes) and CI/CD tooling.

Preferred:

  • Experience in regulated industries (finance, healthcare, government), with an understanding of compliance frameworks (e.g., PCI DSS, HIPAA, GDPR).
  • Familiarity with fraud prevention, identity verification, or risk assessment solutions.
  • Certifications in cloud computing, data engineering, or machine learning (e.g., AWS Certified Data Analytics, Google Professional Machine Learning Engineer).
  • Proven experience in scaling teams and technology in a fast-paced, high-growth environment.

Base Salary Range: $230,000 - $275,000. This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full-time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus.

#LI-Remote

Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.

To learn more, check out Socure’s Career Page: https://www.socure.com/company/careers

Socure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To learn more about how our work is changing the world, check out these articles and videos:

  • Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8S

  • Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7

  • Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU

  • Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4

  • Archives & Press Releases: https://learn.socure.com/about/press-release

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

Top Skills

AWS
Azure
Ci/Cd
Docker
GCP
Java
Kafka
Kubernetes
Python
PyTorch
Scala
TensorFlow

Similar Jobs

2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Fintech • Healthtech • Software
As a Data Scientist III, you will design and implement scalable analytics solutions, lead initiatives, mentor junior members, and provide data insights to enhance client relations and business outcomes.
Top Skills: DbtLookerPower BIPythonSQLTableau
3 Hours Ago
Remote
San Francisco, CA, USA
136K-218K Annually
Senior level
136K-218K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Data Engineer, you'll design data models, build scalable data pipelines, and improve data quality, collaborating across teams.
Top Skills: AirflowSparkAthenaAws Data ServicesEmrFlinkHiveJavaKafkaPythonRedshiftSparkSQL
5 Hours Ago
Easy Apply
Remote
Hybrid
US
Easy Apply
Mid level
Mid level
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
The Data Steward ensures data accuracy, consistency, and governance within Salesforce, improving data models and reporting accuracy while supporting decision-making across OpenX's AdTech ecosystem.
Top Skills: Api IntegrationsETLGoogle BigqueryJsondbLookerPythonSalesforceSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account