Solutions Engineer

Location: Remote (US East Coast)

ABOUT SISENSE

Sisense is the premier AI-powered embedded analytics platform that empowers product and engineering teams to build accessible, governed, data-driven experiences directly inside their applications. Backed by over 20 years of powering customer-facing analytics for companies like PagerDuty, Philips, and Seismic, Sisense serves as the trusted distribution layer for product AI - -grounding models in approved metrics, business context, and role-based security rules.

WHY YOU SHOULD JOIN OUR SALES ENGINEERING TEAM

This role offers a structured pathway to launch and accelerate your pre-sales career. You will partner directly with seasoned Sales Engineers and SE leadership who have scaled high-growth enterprise software companies. If you come from an implementation, technical support, or technical account management background, this role gives you the mentorship, training, and customer-facing exposure needed to sharpen your commercial acumen and technical depth in embedded analytics and AI.

IN THIS ROLE YOU WILL

- Partner with Account Executives (AEs): Serve as the core technical resource across the deal cycle, proving the architectural and business value of Sisense to prospects.

- Lead Technical Discovery: Assist with and conduct discovery sessions with product managers, software engineers, and data leaders to uncover technical pain points and scope requirements.

- Build Proof of Concepts (PoCs): Design, configure, and deliver tailored technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript/React SDKs.

- Create Reusable Demo Assets: Develop interactive dashboard prototypes, custom component examples, and technical documentation to assist the broader commercial team.

- Ensure Smooth Handoffs: Collaborate closely with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes.

WHAT YOU'LL BRING

- 1–3 years of experience in a customer-facing technical role, such as Associate/Junior Solutions Engineering, Technical Support, Implementation Consulting, Solutions Architecture, or Technical Account Management.

- Hands-on proficiency with SQL, including writing queries, understanding relational database structures, and joining disparate data models.

- Working knowledge of web technologies: Ability to read and modify JavaScript (React, Angular, or Vue), inspect web elements, and work with REST APIs and JSON payloads.

- Clear technical communication: Proven ability to translate complex architectural concepts into plain language for both technical (developers, data engineers) and non-technical (executives, product leaders) audiences.

- Curiosity and coachability: A growth mindset with a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.

NICE TO HAVE

- Hands-on scripting experience in Python or backend languages.

- Familiarity with embedded analytics architectures, webhooks, or SSO/authentication protocols (SAML, JWT, OAuth).

- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks).

- Foundational understanding of generative AI patterns, LLM orchestration, or natural language querying (NLQ).

HOW YOU’LL RAMP

- By Day 30:

- Complete Sisense platform and architecture onboarding.

- Understand the end-to-end sales lifecycle, buyer personas, and technical qualification framework.

- Shadow customer discovery calls and deliver your first internal certification demo.

- By Day 60:

- Join the active demo rotation and assist AEs with technical qualification and RFI/RFP responses.

- Co-build customized trial environments and PoCs alongside senior Sales Engineers.

- Troubleshoot prospect integration questions involving REST APIs and SDK embedding.

- By Day 90:

- Independently lead standard technical discovery sessions and product