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Technical Support Engineer - Future Opportunities - Columbia MD/Hybrid
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
employee referral program
paid time off (PTO)
Education Requirements:
Technical degree or equivalent experience
Experience Requirements:
Experience in networking and both Linux & Windows OS
Knowledge of cloud and cybersecurity concepts
Customer support experience
Experience with Nessus, SIEMs, virtualization, SQL, or scripting is a plus
Other Requirements:
Must already be authorized to work permanently in the U.S.
Bilingual skills (Spanish, Portuguese) are a plus
Responsibilities:
Troubleshoot complex issues and guide customers through vulnerability management
Collaborate with Sales, R&D, and Customer Advocacy teams
Grow skills working with cybersecurity technology
Contribute knowledge articles and insights
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Technical Support Engineer (Hybrid/Columbia MD)
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
education assistance
parental leave
Education Requirements:
Bachelor’s degree in a technical field or equivalent experience
Experience Requirements:
2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration
Experience providing technical support to enterprise clients
Demonstrated interest in AI and Large Language Models (LLMs)
Other Requirements:
Must be authorized to work for any employer in the U.S.
We are unable to provide sponsorship for work visas
Flexibility to work occasional weekends or holidays
Responsibilities:
Troubleshoot, analyze and address customer technical inquiries
Use remote troubleshooting techniques to correct issues
Analyze vulnerability scan results, system audits, and log events
Recreate customer software issues in a lab environment
Create and publish solution knowledge for re-use
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Technical Support Manager
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
education assistance
paid time off (PTO)
Experience Requirements:
3-5 years experience managing a team of 8 or more Technical Support Engineers
Experience of using AI in day to day work an advantage
Other Requirements:
Fluent English speaker
Be willing to support the team outside of hours as business needs
Responsibilities:
Manage Support Engineers across multiple shifts and locations in EMEA
Evaluate and refine the customer’s technical support experience
Define and collect KPIs to manage capacity planning
Interact with R&D and Product Management teams to diagnose escalated issues
Use AI to drive efficiencies throughout the team
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FP&A Analyst - Hybrid/Columbia MD
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
health and wellness events
community programs
Education Requirements:
Bachelor’s degree - ideally in Finance, Accounting or Analytics
Experience Requirements:
1-3 years of Analyst experience
Experience with finance and accounting concepts
Experience with Excel and G-Suite products
Other Requirements:
Applicants must be authorized to work for any employer in the U.S.
Minimal travel may be required
Responsibilities:
Develop annual budgets, monthly and quarterly forecasts
Analyze actual results using financial planning software
Collaborate with cross-functional teams like Marketing and Operations
Prepare regular financial reports and dashboards
Communicate performance trends and actionable insights
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Talent Sourcer
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
parental leave
paid time off (PTO)
Experience Requirements:
2+ years of experience as a Sourcer/ Recruiter in a high-tech company
Proven experience with LinkedIn Recruiter
Knowledge of the high-tech industry including various technical stacks
Other Requirements:
Excellent English and Hebrew (written and verbal)
Familiarity with Applicant Tracking Systems (ATS)
Responsibilities:
Sourcing and headhunting exceptional candidates
Utilize various sourcing strategies to build a talent pipeline for R&D roles
Stay ahead of industry trends and market intelligence
Lead employer branding initiatives
Create and maintain a positive candidate experience
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Senior Marketing Manager - Public Sector (Hybrid/Columbia MD/Boston MA)
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
flexible spending accounts
education assistance
Experience Requirements:
10+ years of B2B marketing experience targeting Federal and SLED audiences
Proficiency in Salesforce and Marketo
Experience with Tableau, Google Workspace, and Slack
Other Requirements:
Applicants must be authorized to work for any employer in the U.S.
Direct experience working with ImmixGroup or Carahsoft is highly preferred
Responsibilities:
Build and execute Federal and SLED go-to-market plans
influence regional messaging, digital campaigns, and content creation
Lead lifecycle of in-person and virtual events
Collaborate with Sales and Channel Partners
Report on metrics using Salesforce and Tableau
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Senior Product Marketing Manager - Cloud Security
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
paid time off (PTO)
parental leave
Education Requirements:
Bachelor’s degree or equivalent work experience
Experience Requirements:
8+ years of total professional experience
5+ years in product marketing or product management
Understanding of cybersecurity and cloud security markets
Other Requirements:
Ability to travel domestically up to 20%
Responsibilities:
Serve as a technical expert for thought leadership
Lead new product and solution launches
Contribute to product marketing strategy and messaging
Develop impactful marketing assets like sales collateral and blog posts
Partner with demand generation teams to create campaigns
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Senior Product Designer
Identify hidden risks and avoid cost overruns in large-scale projects by using AI-driven analysis of unstructured documentation like emails, reports, and minutes.
Benefits:
4-day work week
Flexibility at work
Make Parenthood Matter programs
Experience Requirements:
Senior level
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Senior Frontend Developer (JavaScript / React)
Identify hidden risks and avoid cost overruns in large-scale projects by using AI-driven analysis of unstructured documentation like emails, reports, and minutes.
Benefits:
4-day work week
Flexibility at work
Make Parenthood Matter programs
Experience Requirements:
Senior level
JavaScript
React
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Software Engineer, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
At least 2 years of industry experience in building and deploying production-level machine learning models
Deep understanding and practical experience with NLP techniques and frameworks
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch
Excellent skills in data processing (SQL, ETL, data warehousing)
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Process and analyze large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Software Engineer, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Knowledge of designing and building API platforms and integration systems.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST and gRPC
Build and maintain scalable and extensible data schemas
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Software Engineer, DevOps
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's or Master's degree in Computer Science or related field.
Experience Requirements:
3+ years of experience in Infrastructure engineering, or a similar role
Experience with public cloud networks like AWS, Azure and GCP
Experience with Kubernetes, Helm, Terraform, and Istio
Knowledge of automation tools like Ansible
Experience with CI/CD pipelines
Other Requirements:
Excellent problem-solving skills
Ability to work under pressure in a fast-paced environment
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Partner with product teams to architect foundational infrastructure
Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions
Drive the automation of infrastructure tasks
Collaborate closely with the software development team to refine CI/CD pipelines
Architect and implement advanced observability solutions
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Software Engineering Lead, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Experience building products across the stack
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST or GraphQL
Integrate multiple enterprise applications and services
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Software Engineering Lead, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
Proven industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Excellent skills in data processing (SQL, ETL, data warehousing).
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Lead the processing and analysis of large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Product Manager
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Education Requirements:
Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
An MBA or equivalent experience is a plus.
Experience Requirements:
3-5 years of experience in product management, preferably in the tech or software industry.
Strong understanding of product development processes, including agile methodologies.
Ability to work with cross-functional teams and influence without direct authority.
Excellent communication, leadership, and problem-solving skills.
Analytical mindset with the ability to interpret data and make informed decisions.
Other Requirements:
Strong organizational and project management skills
Knowledge of user experience (UX) design principles
Responsibilities:
Define and communicate the product strategy and roadmap
Conduct market research and competitor analysis to identify opportunities
Collaborate with engineering, design, and marketing teams to deliver products
Prioritize product features, enhancements, and bug fixes
Manage the product development lifecycle
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Senior Product Designer
Improve your gaming performance with AI-powered coaching that provides real-time telemetry, voice-guided advice, and post-session analysis for racing and Rocket League.
Experience Requirements:
Track record of excellence with 4+ years designing consumer software products (b2c, b2b2c)
Experience mentoring designers and raising the quality bar across a product team
Other Requirements:
Data-informed decision making
Systems thinking
Scrappy Self starter
User obsessed
Working knowledge of AI features
Responsibilities:
Lead end-to-end product design from discovery and flows to polished prototypes and user testing
Turn ambiguous ideas into cohesive UX that drives core business outcomes
Partner with product and data science to run lightweight usability testing
Build and own our design system for speed and consistency across surfaces
Define trophi.ai’s visual identity and interaction patterns as we scale
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Partnership Strategy Manager
Improve your gaming performance with AI-powered coaching that provides real-time telemetry, voice-guided advice, and post-session analysis for racing and Rocket League.
Experience Requirements:
4+ years in partnerships, BD, or enterprise sales
Experience with $100K–$1M ARR deals
2+ years working with publishers, developers, or studios
Other Requirements:
Deep understanding of gaming business models
Willingness to travel 10–20%
Passion for gaming
Operator mindset
Strategic storyteller
Responsibilities:
Build and own a pipeline of studios and publishers for B2B product line
Contribute to ecosystem and market entry strategy
Hunt and close new ecosystem partnerships
Manage and expand existing strategic partnerships
Scoping, pitch, and deliver proof of concepts (POCs)
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Strategy & Operations Associate
Improve your gaming performance with AI-powered coaching that provides real-time telemetry, voice-guided advice, and post-session analysis for racing and Rocket League.
Experience Requirements:
2+ years experience in a fast-paced, analytical role (chief of staff, bizops, VC/PE, banking, consulting)
Other Requirements:
Strong analytical skills
First-principles thinker
Outstanding communication
Relentlessly resourceful
Highly organized
Responsibilities:
Partner with the Head of Product & CEO on core strategic initiatives
Lead market analysis, competitive deep dives, and opportunity sizing
Build business cases and quantitative models
Build the operating backbone: architect workflows, OKRs, and business review processes
Drive cross-functional initiatives across Product, Partnerships, and Marketing
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Strategy & Operations Associate
Improve your gaming performance with AI-powered coaching that provides real-time telemetry, voice-guided advice, and post-session analysis for racing and Rocket League.
Experience Requirements:
2+ years experience in investment banking, management consulting, or growth-focused roles
Other Requirements:
Strong analytical skills
First-principles thinker
Outstanding communication
Relentlessly resourceful
Highly organized
Responsibilities:
Partner with the Head of Product & CEO on core strategic initiatives
Lead market analysis, competitive deep dives, and opportunity sizing
Build business cases and quantitative models
Build the operating backbone: architect workflows, OKRs, and business review processes
Drive cross-functional initiatives across Product, Partnerships, and Marketing
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Product Manager
Improve your gaming performance with AI-powered coaching that provides real-time telemetry, voice-guided advice, and post-session analysis for racing and Rocket League.
Experience Requirements:
2+ years of PM experience at a product-driven tech company
1+ years experience in a fast-paced, analytical role
Other Requirements:
SQL knowledge
Ownership-first mindset
Deep user empathy
First-principles thinker
Excellent communicator
Responsibilities:
Embed yourself into gamer communities to surface real user needs and trends
Translate customer problems & business goals into prioritized product requirements
Define success metrics and own dashboards/funnels
Size and scope opportunities using product data
Write scopes/specs and manage JIRA
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