{"id":3249788,"url":"https://alion.io/job/sisense-solutions-engineer","title":"Solutions Engineer","company":{"id":58805,"name":"Sisense","domain":"sisense.com","url":"https://alion.io/company/sisense","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":75000,"max":104000,"currency":"USD","period":"year","gross":null,"usd_annual":104000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"JavaScript","optional":false},{"name":"PagerDuty","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Sisense","optional":false},{"name":"SQL","optional":false},{"name":"Vue.js","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LLM","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-25T19:53:24Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-26T18:27:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Location: Remote (US East Coast)\nAbout Sisense\nSisense 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.\nWhy You Should Join Our Sales Engineering Team\nThis 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.\nIn This Role You Will\nPartner with Account Executives (AEs): Serve as the core technical resource across the deal cycle, proving the architectural and business value of Sisense to prospects.\n\nLead Technical Discovery: Assist with and conduct discovery sessions with product managers, software engineers, and data leaders to uncover technical pain points and scope requirements.\n\nBuild Proof of Concepts (PoCs): Design, configure, and deliver tailored technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript/React SDKs.\n\nCreate Reusable Demo Assets: Develop interactive dashboard prototypes, custom component examples, and technical documentation to assist the broader commercial team.\n\nEnsure Smooth Handoffs: Collaborate closely with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes.\n\nWhat You'll Bring\n1-3 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.\n\nHands-on proficiency with SQL, including writing queries, understanding relational database structures, and joining disparate data models.\n\nWorking 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.\n\nClear 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.\n\nCuriosity and coachability: A growth mindset with a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.\n\nNice to Have\nHands-on scripting experience in Python or backend languages.\n\nFamiliarity with embedded analytics architectures, webhooks, or SSO/authentication protocols (SAML, JWT, OAuth).\n\nExperience with cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks).\n\nFoundational understanding of generative AI patterns, LLM orchestration, or natural language querying (NLQ).\n\nHow You’ll Ramp\nBy Day 30:\nComplete Sisense platform and architecture onboarding.\n\nUnderstand the end-to-end sales lifecycle, buyer personas, and technical qualification framework.\n\nShadow customer discovery calls and deliver your first internal certification demo.\n\nBy Day 60:\nJoin the active demo rotation and assist AEs with technical qualification and RFI/RFP responses.\n\nCo-build customized trial environments and PoCs alongside senior Sales Engineers.\n\nTroubleshoot prospect integration questions involving REST APIs and SDK embedding.\n\nBy Day 90:\nIndependently lead standard technical discovery sessions and product demonstrations for your assigned pipeline.\n\nOwn technical trial workflows from initial scoping to technical win.\n\nContribute a new reusable demo asset or integration guide to the internal SE repository.\n\nCompensation & Benefits\nNew York City Base Salary Range: $75,000 - $104,000 / year.\n\nTotal Compensation (OTE): In addition to base salary, this role includes a variable sales commission plan based on achievements.\n\nNote: The salary range above reflects base compensation specifically for candidates located within New York City. 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