Top Tech Jobs & Startup Jobs

Build and productionize agentic AI and NLP systems that process millions of documents and support data operations. Develop tool-calling agent loops, orchestration, memory management, RAG pipelines, metadata and entity extraction, and evaluation frameworks measuring accuracy, latency, and cost. Apply Python, SQL, and Snowflake to assess solutions, implement guardrails, manage AI risks, collaborate with technical stakeholders, and communicate delivery trade-offs.

Process vendor invoices and employee expense reports in D365 and Certify, audit expenses, prepare weekly payment runs, respond to inquiries, support month-end accruals, and collaborate with internal departments while ensuring accuracy, SLA compliance, and familiarity with SOX regulations.

Drive revenue by selling event sponsorships and services to IT vendors in Turkey. Responsibilities include prospecting through cold calls and networking, pitching tailored event packages, preparing proposals, negotiating contracts, developing market sales strategies, maintaining pricing and margins, and managing client relationships through event completion. The role requires accurate daily Salesforce updates, strong communication, Turkish and English fluency, and at least three years of B2B or event sponsorship sales experience.

Build LLM-powered memory and agent capabilities for an AI intelligence platform. Responsibilities include developing multi-agent pipelines, conversation summarization, durable fact and preference extraction, cross-session retrieval, context assembly, and observability. The role involves production Python development, agent orchestration, prompt engineering, RAG, semantic search, embeddings, and collaboration on evaluation and quality improvement.

Manages custom market research consulting projects from client requirements through delivery. Responsibilities include client and stakeholder communications, workplan and budget management, quality assurance, deliverable development, analyst-team coordination, project scheduling, and expectation management. The role also supports client relationship growth, facilitates senior-level presentations, oversees internal and external contributors, and ensures timely, high-quality, insight-driven outcomes.

Manage custom market research consulting projects from client requirements through delivery. Responsibilities include client and stakeholder communications, work planning, budgets, timelines, quality assurance, deliverable development, analyst coordination, team orchestration, and presenting findings to senior audiences. The role also supports customer relationship growth and requires knowledge of market research methodologies, strong analytical and writing skills, advanced Excel proficiency, and less than 10% travel.

Leads research, economic modeling, and executive advisory on enterprise AI investments. Develops models for costs, value realization, unit economics, payback, and scenario analysis; benchmarks deployment outcomes; advises CIOs and CFOs on funding, sourcing, scaling, and portfolio decisions; and produces client research, presentations, case studies, and industry guidance.

Own financial data models and Power BI reporting for Finance and FP&A stakeholders. Translate business requirements into trusted financial data structures, define KPI logic and hierarchies, build self-service dashboards using SQL, Snowflake, Power BI, and DAX, and partner with IT and senior business leaders. Explore AI-enabled analytics tools to accelerate modeling, query development, and financial insight.

Leads a small team delivering AI-powered data engineering workflows and NLP pipelines at scale. Builds systems that parse, chunk, embed, and extract metadata, entities, and insights from millions of documents using LLMs and NLP models. Reviews agent-generated plans in governed Claude Code environments, assesses technical feasibility with Python, SQL, and Snowflake, manages stakeholders, negotiates trade-offs, and provides hands-on technical delivery and people management.

Partner with account executives on technical discovery, product demos, complex deal support, customer requirements mapping, integration planning, and structured sales-to-implementation handoffs. The role also captures technical objections, contributes to enablement resources, coordinates with Deal Desk and Product, and supports adjacent regional time zones. Candidates should have SaaS pre-sales experience, customer-facing technical skills, and familiarity with demos, integrations, and security discussions.