Senior Solutions Engineer

Job Summary

We are looking for a technical owner of the customer journey from late-stage sales meetings through pilot by running demos and solution scoping alongside Sales, standing up and integrating each pilot in the customer’s cloud, and bug triage so the founders and core engineering team stay focused on closing and building.

About Malachyte

Malachyte is building a frontier personalization engine that adapts the internet in real time — making every visitor feel understood from their very first click. Our founding team brings decades of deep expertise from roles at Spotify, Priceline, BCG, Google, and more.

Malachyte's journey starts with e-commerce companies that rely on their websites to help consumers discover and satisfy their intent. Our innovative solutions are a blend of advanced infrastructure, deep learning, and next-gen user experience to deliver value within weeks.

Once set up, our technology instantly personalizes every experience in real-time, making browsing and searching more relevant for every visitor from their first interaction (no login or history required!).

We're still in the early stages of company building - this role is for someone who wants outsized ownership of how our customers succeed.

Key Responsibilities

Pre-sales solution engineering

• Own technical demos and solution-architecture conversations so a founder no longer needs to be in every demo.
• Scope POCs and pilots: translate the buyer’s surfaces (search, PLP, recommendations) into a concrete deployment and success-measurement plan.
• Run technical discovery and answer integration/security/data questions for engineering and IT stakeholders on the customer side.

Pilot onboarding & integration

• Stand up the single-tenant deployment in the customer’s cloud (GCP by default); integrate with enterprise data sources.
• Implement event/clickstream instrumentation and confirm visitor-ID population, consistency, and event-payload completeness before any metric is committed, validating inputs. 
• Run the onboarding cadence: Day 0 access, Day 1 kickoff, Day 3 data check, Day 7 risk review with customer.
• Own the measurement plumbing in the Pilot Success Brief: the A/B testing integrity and results from instrumentation to read out.

Customer optimization & support

• Triage the customer bug queue: resolve config issues directly and route true product bugs to engineering with a clean reproduction.
• Support technical adoption of new releases that require client-side changes (e.g., a new endpoint), working directly with the brand's technical team to implement as needed.
• Surface deployment and field learnings to product (why we win, where integration hurts) feeding into, not replacing, existing roadmap prioritization.
• Review and validate auto-generated onboarding runbooks and content for technical accuracy. 

Requirements

Must-haves

• 3 yrs as a Solutions / Sales Engineer, Forward-Deployed Engineer, or Implementation / CS Engineer at a B2B SaaS, data, or ML company. 
• Hands-on with cloud data infrastructure — GCP strongly preferred (BigQuery, Bigtable, GKE, Vertex AI, Managed Kafka).
• Comfortable with REST / JS-tag integration, event & clickstream instrumentation, and debugging data pipelines.
• SQL light Python for independent data validation and tuning. 
• Can run both a technical demo and a solution-architecture conversation — credible with a head of e-commerce/merchandising and with an engineering lead. 
• High written-communication bar — writes a clean runbook and a clean bug reproduction.

Strong differentiators

• E-commerce, personalization, search, or recommendations domain (Algolia / Bloomreach / Constructor / Coveo ecosystem, or recsys). NOTE: expect a different mental model.
• Familiarity with Shopify's app/API ecosystem. 
• Has stood up customer environments across multiple clouds for enterprise deals.
• A/B testing & experimentation literacy — significance testing, Intelligems or similar. 
• Experience writing customer-facing runbooks / help-center documentation. 
• Worked the Sept–Q4 peak-readiness cycle for a retail/e-commerce customer base.

Compensation & Benefits

Compensation

Base salary: $160,000 to $180,000

Equity: provided as part of the offer, based on experience

Benefits

100% health insurance (you all dependents) via Aetna Gold Plan; option to upgrade to Platinum

401K with 4% employer match

Transit benefit: up to $200 / month

20 days paid leave 5 days sick leave

Perks

Company on-sites and team events

Remote flexibility — minimum 3 days/week