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We are looking for a Sr. Director Sales Engineering to lead and scale our global presales activities, acting as a strategic partner to the Sales organization and a key driver of revenue growth. This is a high-impact leadership role for an experienced professional who combines deep technical expertise, strong business acumen, and exceptional stakeholder management skills.

As a Sr. Director Sales Engineering, you will build and lead a high-performing team, shape solution strategy, and play a critical role in winning complex deals by aligning customer needs with our innovative solutions.

You will:
Lead, mentor, and scale a high-performing Sales Engineering/ Presales team, fostering a culture of excellence, accountability, and continuous development.
Act as a strategic partner to the GM Sales, supporting go-to-market strategy and driving revenue growth across key markets.
Own the end-to-end presales engagement in complex sales cycles, ensuring strong technical positioning and differentiation of Cognytes solutions.
Drive customer-centric solution design by deeply understanding customer challenges and translating them into compelling value propositions.
Lead and support high-stakes customer engagements, including executive presentations, demos, and proof of concepts (POCs).
Collaborate cross-functionally with Product, R&D, Marketing, and Delivery teams to align offerings with market needs and customer feedback.
Shape and standardize presales methodologies, tools, and best practices to improve efficiency, scalability, and win rates.
Provide market insights and competitive intelligence to influence product strategy and positioning.
Play a key role in strategic deals, supporting negotiations and ensuring technical and business alignment with customer requirements.

You are joining a small engineering team that is already shipping a live platform, and you will lead it. You own the architecture and set the technical direction as we scale from a working product to the system hospitals run their AI operations on: the connectors that read from the AI a hospital has deployed, the auditable record on top, and the monitoring the platform is growing into.
What you'll own
The architecture and hands-on build across the full stack, and the technical direction as the platform scales.
The connectors that read from hospital environments, the auditable AI record on top, and the roadmap into drift and performance monitoring.
The engineering foundations: code review, testing, CI/CD, and the security posture a hospital will interrogate.
Leading and growing the team, and owning the hiring bar.

A senior, hands-on engineer joining a small team that is already shipping a live platform. You own whole features end to end, from a rough problem to something running in production that a hospital relies on. You will not wait for a spec, and you help set the bar for how we build as we grow.
What you'll own
Whole feature verticals across frontend, backend, data, and cloud: the auditable AI record, the workflows around it, and the ingestion behind them.
The reliability of what you ship, including incidents on your own code.
Local architecture and tooling calls, made without escalating everything.
The engineering-quality bar a small team compounds on: review, testing, and the habits later hires inherit.

What You'll Do
- Architect complex multi-system automations - OCR pipelines, Priority ↔ Salesforce sync, multi-carrier shipping, e-commerce ↔ ERP invoicing, reconciliation flows.
- Lead technical scoping for large Professional Services engagements.
- Build reusable process blueprints (we already have 116; you'll add the next 30).
- Troubleshoot the hardest production incidents - data, timing, auth, edge-cases in legacy systems.
- Mentor the PS team; review workflow designs; raise the architectural bar.
- Close the loop with Product on connector gaps, platform limitations, and feature requests.

We are looking for a proactive and detail-oriented Support Specialist to help improve the effectiveness, consistency, and quality of our global support organization.

The role will focus on support process ownership, quality reviews, operational follow-up, and continuous improvement initiatives. Working closely with support managers and team leaders, this position will help ensure that support standards are consistently applied, improvement actions are executed, and customer-facing operations continue to evolve and improve.

You will:
Lead complex pre-sales engagements from opportunity qualification through project award.
Design innovative solutions leveraging our intelligence analytics, SIGINT, cyber, AI, telecommunications, big data, and cloud portfolio.
Build trusted relationships with customer technical and executive stakeholders.
Lead cross-functional teams across Sales, Product Management, R&D, Project Management, and Finance.
Drive high-quality proposals, RFP/RFI responses, technical presentations, and business cases.
Present and influence decision-makers at both technical and executive levels.
Continuously expand your expertise and contribute knowledge back to the organization.

What You'll Do
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

What You'll Do
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

What You'll Do
- Own end-to-end solution design for enterprise deals - from first discovery call to signed SOW to production handoff.
- Lead technical discovery with CIOs, CTOs, and IT leads. Map their current stack (Priority / SAP / NetSuite / Salesforce / custom) and design the company blueprint.
- Architect multi-system integrations - ERP ↔ CRM ↔ e-commerce ↔ shipping ↔ AI Workers - using our company's MCP-native connector framework.
- Run live technical demos and POCs that prove value in days, not months.
- Partner with Sales on pricing, scoping, and risk assessment; be the "technical closer" on 6-7 figure deals.
- Partner with Product - bring real-world field signals back and influence the roadmap.
- Mentor the Professional Services team on architectural patterns and reusable process blueprints.

We are looking for a proactive and detail-oriented Support Specialist to help improve the effectiveness, consistency, and quality of our global support organization.

The role will focus on support process ownership, quality reviews, operational follow-up, and continuous improvement initiatives. Working closely with support managers and team leaders, this position will help ensure that support standards are consistently applied, improvement actions are executed, and customer-facing operations continue to evolve and improve.

You will:
Own and lead end‑to‑end technical presales activities for Nexyte across assigned accounts and territories.
Act as the primary technical and solution advisor for customers throughout the sales cycle.
Lead customer engagements including solution workshops, product demonstrations, executive‑level presentations, and Proof of Concept initiatives.
Drive RFI and RFP responses, including requirements analysis, solution design, sizing, and contribution to commercial strategy.
Partner with Account Managers, Product, R&D, and Delivery teams to shape solution strategy, support sales execution, and feed field insights back into the product and GTM strategy.