Solution Engineer, Apromore

Job Category Sales About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all. About Apromore Apromore is a global leader in AI‑driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an Intelligent Process Twin to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de‑risk, deploy, and govern Agentic AI automation across the enterprise. About The Role As a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands‑on, high‑impact role requiring pre‑sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore’s process intelligence capabilities to precisely identify high‑propensity, high‑ROI use cases for AI agents. You will guide C‑level executives and technical stakeholders away from broad anecdotes and align them onto data‑driven, value‑backed technical solutions. What You’ll Be Doing Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. Analyze sophisticated business problems, uncover real technical blockers, and map architecture constraints to design optimized “To‑Be” processes. Prototyping & Hands‑on Implementation: Construct Proof of Concepts and minimum viable prototypes. Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost‑saving opportunities. Data Configuration & Architecture: Guide customers on end‑to‑end data connectivity. Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems such as Salesforce Data Cloud, Snowflake, or legacy ERPs. Deliver Value‑Based Technical Messaging: Translate working prototypes into solid business cases, helping executive decision‑makers across Automation, AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact. De‑Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. Demonstrate how clean process context, clear handoffs, and well‑understood workflows enable agents to deploy safely, productively, and within trust guardrails. Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. Serve as the primary consultant to ensure successful customer adoption, guiding teams on advanced process intelligence methodologies and execution best practices. Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers. What You Should Have 5+ years of experience in customer‑facing technical selling roles or technical project delivery roles. Process Intelligence Expertise: experience working with process analytics, process mining, task mining, process simulation and data‑driven business process management concepts. Strong Data Engineering Skills & Builder Credibility: experience with SQL, Python and building data pipelines and API integrations. AI Fluency: familiarity with LLMs, prompt engineering, and agentic orchestration frameworks. Sales Instinct & Commercial Curiosity: understanding of how pre‑sales fits into a complex enterprise deal cycle and an enthusiasm for solving technical puzzles that unlock commercial success. Exceptional Relationship Building: proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C‑suite executives to IT infrastructure and database teams. Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science/AI, or equivalent. Characteristics An outstanding blend of technical depth, strategic business acumen, and low‑ego collaboration. An agile, “roll‑up‑your‑sleeves” approach to problem‑solving that favors progress over perfection. Intellectual openness and the ability to comfortably navigate ambiguity. EEO Statement Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider qualified applicants with arrest and conviction records. The company is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Hiring decisions are based on merit, competence, and qualifications, regardless of race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other protected classifications. Compensation The typical base salary range for this position is $88,970 – $244,510 annually. In California, New York, and select large metro areas, the base pay range is $97,860 – $269,080 per year. Base salary is the only compensation listed here; additional bonus, incentive, equity, and benefits may apply. Benefits Benefits include time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. For more details see #J-18808-Ljbffr Salesforce