AI Jobs

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Bachelor’s Degree or equivalent professional experience

Experience Requirements:

• 4-6 years of experience in Enablement

• Experience with Learning Management Systems (e.g., Mindtickle, Highspot)

• Experience with AI role play tools and AI course building

• Experience managing projects with multiple tasks

• Highly organized and attentive to detail

Other Requirements:

• Ease with working in a fast-paced environment

• Nice to have: Identity or Fraud industry experience

Responsibilities:

• Help build and roll out new learning courses by persona

• Build AI role plays for discovery and demo calls

• Conduct 1:1 sessions with new hires to ensure performance

• Track enablement activities and scores in LMS

• Gather data and feedback on program efficacy

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field

• MBA or advanced technical degree a plus

Experience Requirements:

• 7+ years of experience in technical implementation or post-sales consulting

• Experience in fraud detection and risk mitigation ecosystem

• Expertise in SaaS platforms, API integrations, and enterprise IT

• Proven ability to lead enterprise-level implementations

• Experience balancing strategic thinking and hands-on execution

Other Requirements:

• Excellent communication and stakeholder management skills

Responsibilities:

• Lead the end-to-end platform implementation process

• Provide hands-on technical consultation during hyper-care

• Customize platform functionalities based on operational needs

• Lead training sessions and workshops for client teams

• Partner with Product and Engineering to inform roadmap priorities

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Bachelor's Degree in business, engineering, math, or related field preferred

Experience Requirements:

• 10+ years of professional work experience

• 5+ years of experience in professional services or sales engineering

• Experience leading enterprise-level engagements dealing with analytics or technology

• Deep understanding of SaaS sales methodologies (MEDDICC, Challenger)

• Experience conducting credit/fraud risk management analysis

Other Requirements:

• Comfort with up to 30% travel

• Flawless communication and technical depth

Responsibilities:

• Foster relationships with key stakeholders and economic buyers

• Collect and analyze customer feedback to establish shared understanding of value

• Own the QBR process to reinforce value and strategic priorities

• Lead upsell and cross-sell POCs to demonstrate value of additional solutions

• Ensure the adoption of next-gen models and features

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Bachelor’s degree required

• Advanced degree or MBA preferred

Experience Requirements:

• 12+ years in enterprise or SaaS sales

• At least 5 years in a leadership role managing senior level GTM representatives

• Track record of quota achievement in technology, AI, or startup environments

• Experience in fraud, risk, identity, security, or complex data analytics preferred

• Experience leveraging Salesforce or similar CRM

Other Requirements:

• Must be within commuting distance to NY, SF, DC, or Salt Lake City

• Expected travel up to 40-50%

Responsibilities:

• Develop and execute sales strategy for gaming & prediction markets

• Build, lead, and mentor a dynamic team of GTM professionals

• Oversee the entire sales lifecycle from pipeline to closing

• Establish clear goals and metrics to ensure target attainment

• Foster deep relationships with founders and C-suite executives

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Professional certifications preferred (CISSP, CISM, CISA, IAPP)

Experience Requirements:

• 5+ years of cybersecurity or identity management experience

• 1+ year in the public sector

• Direct experience with FedRAMP, GovRAMP, and NIST frameworks (800-53, 800-63, 800-171)

• Proven ability to manage continuous monitoring and vulnerability remediation

• Experience using AI tools (e.g., ChatGPT, Glean, Gemini) to automate processes

Other Requirements:

• Must be a U.S. Person residing in the United States

• Able to obtain a U.S. OPM NACI clearance

Responsibilities:

• Coordination and execution of external 3PAO assessments

• Maintain and update FedRAMP and GovRAMP controls and documentation

• Lead day-to-day FedRAMP continuous monitoring and vulnerability management

• Oversee access controls for FedRAMP environments

• Design and implement AI-enabled compliance workflows

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Experience Requirements:

• 7–9+ years in enterprise SaaS sales

• Experience selling identity verification, fraud prevention, or related risk management solutions

• Demonstrated success in crypto & stablecoins verticals

• Ability to drive value-based conversations and craft tailored solutions

• Background selling fraud, identity, big data, or security solutions

Other Requirements:

• Strong network within relevant vertical markets

• Comfortable navigating ambiguity in high-growth settings

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage full-cycle sales targeting high-value SaaS deals

• Build and maintain a robust pipeline through outbound efforts

• Align complex technical solutions with customer needs in fraud and analytics

• Deliver accurate pipeline forecasts and support strategic planning

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Experience Requirements:

• 7–9+ years in enterprise SaaS sales

• Experience selling identity verification, fraud prevention, or related risk management solutions

• Demonstrated success in big tech, AI, & high-growth startups verticals

• Ability to drive value-based conversations for C-level stakeholders

• Background selling fraud, identity, big data, or security solutions

Other Requirements:

• Must be located in the San Francisco Bay Area

• Comfortable navigating ambiguity and building scalable processes

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage full-cycle sales from prospecting to close

• Build and maintain a robust pipeline through outbound efforts

• Align complex technical solutions with customer needs in fraud and digital identity

• Work closely with product, engineering, and marketing teams

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Degree in a quantitative field, or equivalent work experience

• Advanced degree is preferred

Experience Requirements:

• 3+ years working experience in data science, data analysis, or analytics engineering

• 2+ years experience working with massive real-life datasets

• Extensive understanding of supervised and unsupervised machine learning methods

• Proficiency writing clean, performant code in Python

• Experience querying relational databases with SQL

Other Requirements:

• Experience with cloud tools in AWS, Azure, Databricks, or GCP

• Excellent verbal and written communicator

• Experience in identity verification and fraud prevention strongly preferred

Responsibilities:

• Analyze massive customer data sets and provide actionable insights

• Act as a Data Science advocate to educate and influence customers

• Create convincing data stories to showcase model performance

• Provide thought leadership for next generation core models

• Create tools and automated workflows to improve analysis speed and accuracy

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Bachelor’s or Master’s degree in business or a related discipline preferred

Experience Requirements:

• 7–9+ years of enterprise SaaS sales experience

• Proven experience selling identity verification or fraud prevention

• Success in workforce management, HRIS clients, or Applicant tracking systems

• Background selling highly technical fraud, risk, or analytics solutions

• Experience in startup or high-growth environments

Other Requirements:

• Strong communication, negotiation, and presentation skills

• Strong network within relevant vertical markets

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage the full enterprise sales cycle from prospecting to close

• Build and maintain a robust pipeline through strategic prospecting

• Act as a consultative advisor aligning technical solutions with customer needs

• Collaborate cross-functionally to influence the product roadmap

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Experience Requirements:

• 7–9+ years in enterprise SaaS sales

• Experience selling identity verification, fraud prevention, or related risk management solutions

• Demonstrated success in tier 1 banks vertical

• Background selling fraud, identity, big data, or security solutions in highly technical environments

• Ability to drive value-based conversations with C-level stakeholders

Other Requirements:

• Ability to represent Socure at industry events

• Comfortable navigating ambiguity in high-growth settings

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage full-cycle sales targeting high-value SaaS deals

• Build and maintain a robust pipeline through outbound efforts

• Align complex technical solutions with customer needs in fraud and analytics

• Work closely with product, engineering, and marketing teams

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Training budget

• 20 days of workation

• Flexible working hours

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years in architecture or technical leadership roles

Other Requirements:

• Strong experience with distributed systems and cloud platforms

• Proficiency in backend languages (Python, Go, Node.js, or Java)

• Experience designing scalable APIs and microservices

• Hands-on experience with AI/ML systems and LLM integrations

• Deep understanding of system design, scalability, and reliability

Responsibilities:

• Lead the end-to-end architecture of an AI agentic multi-tenant platform

• Define scalable and modular system designs for agent runtimes and services

• Architect integrations with LLMs, embeddings, and vector stores

• Design frameworks for agent planning, reasoning, and tool execution

• Mentor engineers and conduct architecture reviews

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Bonus program

• Training budget

• Chance to develop and grow

Education Requirements:

• M.Sc. in data science, machine learning, or similar quantitative field

• PhD in quantitative field (preferred)

Experience Requirements:

• 6+ years of experience in data science or applied machine learning

• 2–3 years in leadership or team lead capacity

Other Requirements:

• Client facing experience in technically driven project communications

• Strong applied knowledge of supervised and unsupervised machine learning

• Proficiency in Python and deep learning frameworks

• Working knowledge of SQL/NoSQL/Vector databases

• Fluency in English (written and spoken)

Responsibilities:

• Translate the department’s strategic vision into actionable data science projects

• Oversee and support design and implementation of scalable AI and data science solutions

• Manage project prioritization, resources, and timelines

• Provide strategical oversight and architectural guidance for data science solutions

• Mentor and support the professional growth of data scientists and engineers

Benefits:

• Un rol con impacto desde el primer día

• Crecimiento profesional continuo

• Flexibilidad horaria

• 28 días de vacaciones

• Oficinas en el puerto de Valencia

Education Requirements:

• Formación en Administración, Finanzas, o áreas afines

Experience Requirements:

• Experiencia demostrable en un puesto administrativo, contable, office manager o similar

Other Requirements:

• Buen manejo de MS Office (especialmente Excel)

• Excelente capacidad de organización y gran atención al detalle

• Habilidades de comunicación

• Nivel profesional de inglés

• Permiso de conducir tipo B

Responsibilities:

• Administración contable/financiera

• Facturación y gestión de pagos

• Reporting financiero y control presupuestario

• Cumplimiento normativo y coordinación externa

• Operaciones de oficina

Benefits:

• Equity

• Comprehensive benefits package

Education Requirements:

• BS/MS in Computer Science or Computer Engineering or Electrical Engineering

Experience Requirements:

• 5+ years of relevant work experience

• Strong software architecture, development, & testing experience

• Solid understanding of Linux

• Proficient in Python / Perl and version control systems

• Prior exposure to RAGs or agentic AI workflows

Other Requirements:

• Strong problem-solving abilities

• Passion for debugging

• Excellent communication and interpersonal skills

• Experience with complete CI/CD workflow

Responsibilities:

• Define and deploy AI and ML applications to aid chip design

• Collaborate with hardware chip design teams

• Architect and develop novel tools and user interfaces

• Stay on top of latest advancements in AI/ML technologies

• Troubleshoot and resolve critical technical obstacles

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS in Computer Engineering, Electrical Engineering

Experience Requirements:

• 3+ years of hands-on chip design experience

• Expertise in RTL design, SOC integration, and design automation

• Proficiency in Perl, Python, or similar scripting languages

• Experience in synthesis, padring, and physical design is a plus

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

• Ability to build consensus

Responsibilities:

• Integrate diverse IP blocks to build GPUs and SOCs

• Develop and refine system-level methodologies

• Streamline SOC design and assembly

• Spot inefficiencies in front-end chip implementation

• Ensure high-quality RTL delivery to physical design team

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.

Experience Requirements:

• At least 1+ years of relevant PostDoc or Industry research experience

• Excellent knowledge of theory and practice of AI

• Outstanding research and publication track record

• Excellent programming skills in Python

• Knowledge of common machine learning frameworks like PyTorch

Other Requirements:

• C++ and parallel programming (CUDA) is a plus

• Excellent communications skills

Responsibilities:

• Research, design and implement AI 4 Science methods

• Publish original research

• Collaborate with other team members

• Mentor interns

• Speak at conferences and events

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS in Computer Science or relevant field

Experience Requirements:

• 15+ years of professional experience in software engineering

• Focus on distributed backend systems and data-intensive applications

• Deep proficiency in Go, Python, or Java

• Experience building high-performance low-latency data systems

• Strong understanding of distributed systems

Other Requirements:

• Ability to identification and fix performance bottlenecks

• Experience designing internal platform APIs

• Excellent communication skills

• Understanding of AV & Robotics concepts

• Experience with real-time and replay streaming architectures

Responsibilities:

• Architect and build core platform systems for TestStudio

• Design and implement high-performance data services

• Own and evolve the serialization and format layer

• Collaborate with AI and Robotics teams

• Optimize performance across the stack

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• BS or MS in Computer Science or equivalent

Experience Requirements:

• 10+ overall years of software development

• 5+ years of experience in leading a SW engineering team

• Hands on experience with Cloud Services (SaaS)

• Experience taking mobile and cloud products from inception to release

• Demonstrated capability to provide deep technical leadership

Other Requirements:

• Strong customer focus

• Interpersonal skills

• Experience engaging with analysts and industry visionaries

• Passionate perfectionist

• Out-of-box thinking

Responsibilities:

• Lead a team building cloud services supporting GeForce NOW

• Build a strategy for growing usage and scale

• Own technical requirements, roadmaps, design, and operations

• Partner closely with peer organizations to achieve business success

• Drive improvements in service reliability

Benefits:

• Equity

• Benefits

Education Requirements:

• Bachelor of Science in Electrical Engineering or Computer Science

Experience Requirements:

• 12+ years of experience in a similar or related role

• Experience working in a software development environment

• Track record of leading the launch of new products or features

Other Requirements:

• Strong leadership and communication skills

• Background with autonomous vehicles and/or machine learning

• Experience with data analysis tools/languages such as SQL

• Experience with start-ups and/or early-stage products

Responsibilities:

• Define a cohesive user-centric product vision and experience

• Outline the strategy/roadmap to achieve goals

• Identify & prioritize most critical activities for product success

• Maintain pulse on overall health of workstream

• Develop strong technical understanding of the stack

Benefits:

• Equity

• Benefits

Education Requirements:

• MS or PhD in Computer Science, Robotics, or related engineering field

Experience Requirements:

• 8+ years experience in the related field

• Production experience in autonomous driving systems

• Worked on AI foundation models or large-scale ML systems

• Helped drive End-to-end driving models

• Experience working on Robotics or embodied AI systems

Other Requirements:

• Knowledge of CUDA is a plus

• Deep knowledge of E2E AV software integration

• Vision, innovation, and talent

Responsibilities:

• Compose and build architecture for next-generation self-driving vehicles

• Work on Prediction, Decision, Planning and Control architecture

• Build robust system-level safety and fallback strategies

• Develop a World Model–based planning and reasoning model

• Contribute to the integration of innovative research in robotics