Role Description VisitIQ is looking for a commercially-minded Sales Engineer to act as the technical bridge between our sales team, customers, and product organization. This role is ideal for someone with experience in adtech, martech, data, identity, audience activation, media, analytics, or SaaS platforms. The SE will support: - Pre-sales discovery - Product demonstrations - Technical validation - Solution design - Implementation planning - Customer onboarding The right candidate will be able to translate customer business challenges into clear technical solutions, helping prospects and customers understand how VisitIQ can identify, enrich, segment, activate, and measure high-value audiences. Responsibilities - Lead technical discovery calls with prospects and customers to understand their data, media, CRM, website, and activation requirements. - Deliver compelling product demonstrations tailored to specific customer use cases, including identity resolution, visitor identification, intent audiences, enrichment, segmentation, activation, and reporting. - Partner closely with Account Executives to map customer pain points to VisitIQ platform capabilities and commercial value. - Support proof-of-concept engagements, pilot programs, and technical validation processes. - Help design customer workflows across website pixel implementation, data onboarding, CRM enrichment, audience creation, activation, and measurement. - Work with customers and internal teams on integrations, including pixels, APIs, CRM platforms, DSPs, Meta, Google, DV360, data partners, and other activation channels. - Provide technical support during onboarding and implementation, ensuring a smooth handoff from sales to customer success. - Act as the internal voice of the customer by feeding product gaps, market requirements, and integration needs back to Product and Engineering. - Support RFPs, security reviews, technical questionnaires, and solution documentation. - Help create enablement materials, technical diagrams, demo flows, and best-practice implementation guides. Qualifications - 5–10 years of experience in sales engineering, solutions consulting, solutions architecture, implementation consulting, or a similar technical pre-sales role. - Experience in adtech, martech, media, identity resolution, data platforms, CDPs, DSPs, CRM, audience activation, analytics, or SaaS is strongly preferred. - Strong understanding of data flows, APIs, pixels, tags, event tracking, CRM data, audience segmentation, and platform integrations. - Familiarity with platforms such as Google, Meta, DV360, The Trade Desk, StackAdapt, LiveRamp, Salesforce, HubSpot, CDPs, or similar technologies is a plus. - Ability to explain technical concepts clearly to both technical and non-technical stakeholders. - Strong commercial awareness with the ability to connect technical capability to business outcomes and revenue impact. - Experience supporting demos, POCs, pilots, onboarding, and customer implementations. - Comfortable working cross-functionally with Sales, Customer Success, Product, Engineering, and Leadership. - Excellent communication, presentation, documentation, and problem-solving skills. - Self-starter who can operate in a fast-moving, high-growth environment. - Ability to travel up to 10%. Ideal Background The ideal candidate has worked in or around digital media, audience data, identity, activation, attribution, CRM enrichment, or marketing technology. They understand how brands, agencies, publishers, resellers, and media companies use data to identify audiences, improve targeting, activate campaigns, and measure performance. Benefits - 401(k) - Health insurance - Paid time off - 401(k) matching - Bonus based on performance - Dental insurance - Flexible schedule - Home office stipend - Stock options plan - Vision insurance This is a remote position.

• Manage Projects to integrate Blackwall products and solutions into client and partner environments. • Assess current systems architecture and collaborate with Architect and Developer teams to recommend solutions or improvements. • Resolve technical issues as they arise and design, modify, and test technical solutions. • Provide guidance to development teams and clients, informing stakeholders about technical issues and assessing the business impact of technical choices. • Update stakeholders on product development processes and interact directly with clients to understand their needs, challenges, and requirements. • Analyze client systems or processes to identify opportunities where Blackwall solutions can add value. • Conduct product demonstrations and presentations to showcase Blackwall products' functionality and how they address client needs. • Collaborate with sales teams to outline proposed solutions, emphasizing both technical aspects and business value. • Provide ongoing third-level technical support to partners, addressing questions, concerns, and technical issues.

• Support regional sales growth across South India for LV/MV electricity distribution solutions. • Follow up on leads, customer requirements, tenders, quotations, and project opportunities. • Visit and coordinate with DISCOMs, utilities, EPCs, contractors, consultants, and internal teams. • Assist in basic technical discussions, product positioning, documentation, and order follow-up. • Maintain customer data, visit reports, sales pipeline, forecasts, and updates in CRM, SAP, IFS, MS 365, or similar tools. • Track market trends, competitor activity, and customer needs to support sales planning.

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload • Create and propose solutions to solve customer use cases, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Provide guidance on how to resolve customer-specific technical challenges • Support other members of the Services Delivery team develop their expertise • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing