Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Experience Requirements:
Experience executing sales strategies in early-stage environments
Experience selling technical products to enterprise buyers
Responsibilities:
Execute sales strategy in an early-stage environment where the product or messaging is evolving
Hit sales numbers and targets
Sell technical products to enterprise buyers
Navigate technical sales conversations
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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
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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
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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
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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
Show more details
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
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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
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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
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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
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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
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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
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Benefits:
Close mentoring
Practical experience
Career foundation
Career growth & learning
Flexible work model
Education Requirements:
Currently enrolled in a Bachelor’s or Master’s degree program
Business Administration, Economics, or Management
Computer Science, Information Systems, or Cybersecurity
Quality Management
Interdisciplinary programs combining technology and business
Experience Requirements:
Strong willingness to learn and interest in GRC topics
Initial experience through coursework, internships, or student projects
Other Requirements:
Fluency in English (written and spoken)
Structured and detail-oriented working style
Ability to manage and prioritize tasks under guidance
Independent mindset combined with strong team orientation
Good communication skills
Responsibilities:
Supporting the maintenance and continuous improvement of the GRC management system
Assisting in risk assessments, internal controls, and compliance activities
Supporting the documentation and maintenance of policies, procedures, and control descriptions
Preparing, maintaining, and analyzing GRC-related data, evidence, and reports
Supporting internal and external audits and tracking corrective actions
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Benefits:
Un rol con impacto desde el primer dÃa
Crecimiento profesional continuo
Flexibilidad horaria
28 dÃas 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
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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
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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
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Benefits:
Competitive salaries
Generous benefits package
Education Requirements:
Bachelor’s Degree or higher in Electrical Engineering or Computer Science
Experience Requirements:
5+ years of experience
Expertise in System BIOS (UEFI) Firmware development
Experience with AMI/Insyde or EDK2 Firmware architecture
End-to-end delivery of laptop or desktop design
Solid understanding of low-level interfaces like I2C/SPI/PCIe/JTAG
Other Requirements:
Excellent written and oral communication skills
Good work ethics
High sense of team-work
Self-starter
Commitment to finish tasks
Responsibilities:
Designing, implementing, and delivering innovations for client products
Working with a global team of BIOS developers
Designing and developing performance optimized UEFI/BIOS solutions
Instrumenting code to ensure maximum code coverage
Providing software quality reports
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Benefits:
Competitive salaries
Generous benefits package
Education Requirements:
Bachelor’s Degree or higher in Electrical Engineering or Computer Science
Experience Requirements:
5+ yrs of proven experience
Experience implementing firmware in ARM Architecture
Experience implementing system software in a Linux OS environment
Experience implementing Embedded Controller (EC) firmware
Solid experience in C/C++ development
Other Requirements:
Excellent written and oral communication skills
High sense of teamwork
Self-starter
Creative solutions to exciting problems
Experience in Zephyr OS is a plus
Responsibilities:
Designing, implementing, and delivering Embedded Controller (EC) firmware
Integration of EC firmware with other platform firmware
Provide technical support to the EC Chip vendors and OEMs/ODMs
Partnering with the EC Chip vendors
Working with hardware teams to review HW architecture & schematics
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Benefits:
Equity
Benefits
Education Requirements:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields
Experience Requirements:
7+ years of experience in Solution Engineering or similar roles
System-level understanding of server architecture
Practical knowledge of networking
Familiarity with DevOps/MLOps technologies
Experience with bring-up and deployment of large clusters
Other Requirements:
Effective time management
Excellent communication skills
External customer-facing skills
Proficiency in systems engineering, coding, and debugging
Hands-on experience with NVIDIA systems/SDKs
Responsibilities:
Working with AI Native customers on data center GPU infrastructure
Guiding customer discussions on network topologies
Identifying new project opportunities for NVIDIA products
Conducting regular technical meetings with customers
Building custom demonstrations and proofs of concept
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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
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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
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