Top Tech Jobs & Startup Jobs

Designs, develops, and maintains Microsoft SQL Server databases for applications and reporting. Responsibilities include writing and optimizing T-SQL queries, stored procedures, triggers, and functions; ensuring performance, integrity, security, backup, and recovery; troubleshooting database issues; supporting ETL, migration, and system integration; and collaborating with engineering, QA, and DevOps teams. The role also requires validating AI-assisted outputs and owning the accuracy, quality, and compliance of deliverables.

Perform vulnerability assessments and penetration tests across systems, networks, and applications using industry tools. Validate and own AI-assisted outputs, produce detailed reports with remediation guidance, collaborate on remediation prioritization, participate in red team exercises, and mentor junior staff while contributing to security policy improvements.

Conduct outbound cold calls, LinkedIn outreach, and email campaigns to US enterprise prospects. Qualify inbound and outbound leads, conduct early discovery, schedule product demos, manage follow-ups, maintain accurate CRM records, and meet outreach, lead-generation, and meeting-booking targets. The role also uses AI-assisted tools for call preparation and follow-up.

Conduct outbound cold calls, LinkedIn outreach, targeted email sequences, and CRM prospecting to generate and qualify leads. Run initial discovery calls, schedule demos and sales meetings, follow up with prospects, maintain accurate CRM records, and meet call-volume and meeting-booking targets. Use AI tools to prepare for conversations, handle objections, and improve follow-up while communicating confidently with US-based prospects.

Quota-carrying enterprise software sales role focused on selling AI-driven digital evidence and public-safety solutions to law enforcement, courts, and justice agencies. Build pipeline, manage complex government procurement cycles, run demos and pilots, respond to RFPs, negotiate contracts, develop partnerships, and maintain CRM and forecast accuracy.

Develop and maintain full-stack web applications using Angular/React and server-side technologies. Build scalable back-end pipelines and APIs, ensure security and performance, validate AI-generated outputs, participate in testing and Agile processes, and communicate product requirements and UX interactions.

Design and build scalable server-side APIs and back-end processing pipelines. Validate and own AI-assisted outputs, ensure performance and scalability for millions of users, write unit/integration tests, perform peer reviews, collaborate with product and front-end teams, follow Agile/SCRUM, and propose new technologies.

Lead product definition, roadmap, and backlog for an AI-powered data intelligence platform. Validate AI outputs, prioritize features/defects, coordinate with Sales/Marketing/Customer Success, run SCRUM ceremonies, conduct UAT, document and evangelize features, and hire/mentor product analysts.

Design and build AI-driven marketing and sales workflows using Claude Code, ChatGPT, Gemini, and Grok to automate content, positioning, and sales enablement. Produce and maintain high-quality enterprise content, implement RAG and prompt-engineering solutions, track competitor messaging, enable AI-assisted outreach and sequencing, and measure impact on discoverability, demand, and revenue. Ensure AI outputs are accurate, on-brand, and aligned with product capabilities.

Design and build end-to-end web applications using .NET (C#, ASP.NET Core) and Angular. Develop RESTful APIs, optimize backend pipelines for scalability, deploy on cloud platforms, ensure security and high concurrency, validate and own AI-assisted outputs, write tests, conduct code reviews, and collaborate in Agile teams.