• Pre-sales & demos: Speak knowledgeably to Trovata’s underlying technical architecture, lead discovery conversations, build and deliver tailored product demonstrations, present to varied audiences • Workshops & technical engagements: Design and facilitate pre-sales workshops, lead proof-of-concept engagements, partner with implementation and customer success teams • RFPs & competitive positioning: Own RFP and RFI responses, serve as the go-to voice on infrastructure, maintain and improve a library of RFP content, develop deep competitive fluency • Cross-functional impact: Feed structured product feedback into the product team, contribute to go-to-market materials, mentor and support Account Executives

• Act as a trusted technical advisor to prospect and assess existing customers by determining and analyzing complex technical product functionality gaps, and collaborating with various internal teams to develop solutions that meet customer expectations. • Develop strong relationships with varying levels of strategic clients and maintain up-to-date knowledge of business objectives, vision and goals to determine client roadmap alignment with the Smile product roadmap. • Proactively lead the customer on their buy Journey by understanding and anticipating their needs and pain points and offering impactful, persuasive solutioning. • Provide scoping and sandbox environment support and substantiate business and technical solutions offered to existing and prospective clients. • Collaborate with cross-functional teams to develop and demonstrate ROI based on technical product capabilities that align with client business objectives and goals. • Creating high-level IT architecture specifications and design documents along with troubleshooting and resolving issues with design. • Identify solutions for existing challenges or obstacles and anticipate potential future challenges. • Support the design and migration of data to Smile’s platform while being sensitive to the customer’s business model and cultural transformation towards a Smile Health Data Fabric. • Support and contribute to strategic customer proposals by preparing and delivering technical presentations explaining products and services to prospective strategic clients and on-going technical consultation. • Participate in the development of product demos and POCs to highlight compelling Smile capabilities. • Collaborate closely with the Sales team to develop and implement effective account management strategies by providing subject matter expertise on a customer’s current and prospective technical needs and determine how Smile’s solution(s) can meet their business goals and objectives. • Act as a technical liaison between customers, service engineering teams, product teams and support to bring the voice of the customer to the Smile products. • Rapidly develop and maintain a deep knowledge of Smile’s products, FHIR, market trends, customer environment and competitive landscape. • Collaborate cross-functionally to continuously improve product, sales and marketing from a technical perspective.

Role Description We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: - Investigate - Define success - Design - Build - Deploy - Improve on real usage data You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. Qualifications - Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. - Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. - Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. - Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. - Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. - Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. - English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. - AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. - Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. Requirements - Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. - Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. - Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. - Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. - Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. - Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. - Investigate real production failures and improve the complete system, not just the prompt or the model response. - Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. - Own architecture, quality, security, and business outcomes — not just the pull request. What You'll Be Doing - Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. - Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. - Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. This is not for you if - You want a prompt-only role or a research position focused on training foundation models. - You do no-code-only automation and can't own real production code. - You call yourself a product manager who delegates the build. - You ship unreviewed "vibe coding" and call it done. - You need a complete spec before you can start. - You optimize for demo quality instead of measurable business impact. Nice to Have - Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. - Lead generation, marketplaces, real estate, sales technology, or marketing automation background. - Ranking, scoring, prediction, experimentation, or data pipeline experience. - Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. - MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. - Track record taking a product or automation from zero to one in a fast-moving startup. What We Offer - Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. - Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. - Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. - Compensation: Competitive fixed base salary above the market average. - Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. - Time Off: 15 paid vacation days plus 5 paid sick days annually. - Growth: Unlimited learning policy — paid courses, books, and growth resources. - AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. - Ownership: Real decision-making power and direct ownership of your outcomes. Location Remote, 4+ hour overlap with Asia/Dubai

• Lead the strategic growth and evolution of TTEC Digital's Azure practice. • Develop and execute the Azure go-to-market strategy in partnership with sales, delivery, alliances, and executive leadership. • Build, mentor, and scale a high-performing team of Solution Architects and technical leaders. • Drive revenue growth, pipeline development, bookings attainment, and market expansion. • Create repeatable sales motions, offerings, and industry-specific solutions that accelerate growth. • Develop and strengthen executive relationships across Microsoft. • Partner closely with Microsoft field teams, partner organizations, solution specialists, and alliance leaders to generate opportunities and drive joint success. • Position TTEC Digital as a strategic Microsoft Azure, Data, and AI partner. • Collaborate with Microsoft on co-sell motions, funding opportunities, and strategic client pursuits. • Guide clients through enterprise data modernization initiatives that prepare organizations for AI adoption. • Help clients transform disparate and legacy environments into modern, cloud-based data estates. • Serve as a trusted advisor to C-suite and senior executive stakeholders. • Lead executive-level discussions regarding Azure transformation, data strategy, and AI enablement. • Shape solution strategy for complex client opportunities and oversee architecture direction across major engagements. • Partner with delivery leadership to ensure successful execution and client outcomes. • Support strategic pursuits, proposal development, and client presentations. • Partner with sales leadership to build and advance Azure opportunities. • Leverage existing client relationships to drive land-and-expand growth strategies. • Help identify opportunities across TTEC's established customer base and Microsoft ecosystem. • Contribute to pipeline generation, deal strategy, and executive relationship management.