Senior Revenue Operations Engineer, Superchat
AI & Automation
3+ days a week in office
Omnichannel customer communications for SMEs
Be an early applicant
Omnichannel customer communications for SMEs
21-100 employees
Be an early applicant
3+ days a week in office
21-100 employees
Company mission
To digitalise communication for SMEs across Europe.
Role
Who you are
- You bring 3+ years of hands-on experience in RevOps, GTM Engineering, SalesOps, Business Systems, or a comparable B2B SaaS role, and can show production systems you personally built
- You've integrated LLMs into real workflows or tools through APIs and understand how to move beyond prompting into reliable, production-ready use cases
- You start with the user and business problem, map the relevant process and data dependencies, and choose the simplest scalable solution rather than defaulting to a particular tool
- You're comfortable working with APIs, webhooks, JSON, authentication, data models, and the movement of data between multiple systems
- You can take a project from discovery and architecture through building, testing, rollout, documentation, monitoring, and ongoing improvement
- You ship quickly without treating reliability as optional, including appropriate testing, error handling, security, observability, and documentation
- You connect technical work to measurable outcomes such as pipeline, productivity, data quality, speed, cost, or customer experience
- You can explain technical decisions simply, manage trade-offs, work through ambiguity, and collaborate effectively with both technical and non-technical stakeholders
- You are fluent in written and spoken English; German is a plus
- You actively experiment with new technologies, learn through building, and share useful findings without chasing novelty for its own sake
What the job involves
- If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique skills and experiences might be exactly what we need now or in the future
- You build the AI, automation, and data foundations that make these teams faster, smarter, and more scalable, owning the end-to-end delivery of internal tools, integrations, and AI-powered workflows - from problem framing and architecture through launch, adoption, and measurable business impact
- Building: AI, Automation & Systems (ca. 65%):
- You identify and productionize high-leverage AI use cases across Sales, Customer Success, Marketing, and Finance, including LLM integrations, workflow design, evaluation, guardrails, and monitoring
- You design and build lightweight internal applications and interfaces that remove recurring manual work, improve decision-making, and are simple for teams to adopt
- You build end-to-end workflows using Make, n8n, and custom logic, including business rules, system handoffs, error handling, alerts, and ongoing monitoring
- You create clean, maintainable data flows between HubSpot, the data warehouse, billing, support, and other GTM tools using APIs, webhooks, enrichment pipelines, and data activation
- You work deeply within HubSpot's objects, properties, workflows, and integration layer to support complex use cases without creating fragile or unnecessarily complicated architecture
- Discovery & Solution Design (ca. 15%):
- You translate scoped or ambiguous business problems into clear technical solutions, define success metrics, and choose the simplest approach that can deliver meaningful impact
- Deployment, Adoption & Documentation (ca. 20%):
- You test, document, deploy, and iterate on solutions with end users so they remain secure, maintainable, reliable, and useful after launch
- RevOps: Your peers and manager to collaborate on projects and daily initiatives
- Engineering team: Coordinate with engineers for projects that may require product know how and integration across the engineering tool stack GTM teams as and when required
Our take
Superchat helps businesses streamline their customer communications by combining chat methods (including WhatsApp, email, and SMS) into a single channel. This means customers have a convenient and centralised selection of options, and that customer service representatives can keep track of all conversations from a single hub. Superchat is focused on SMEs, who especially need productivity tools like this.
Poor customer service is an increasingly unaffordable misstep, especially in the European market where Superchat operates. The vast majority of customers will quit a transaction if it’s going badly, and billions are lost each year over this problem. With the backdrop already unforgiving, SMEs can’t afford to slip further behind, so appetite for Superchat’s product is strong.
With reports suggesting that the future of good customer service lies in speed and efficiency, there should be ample opportunity for Superchat to expand as demand for products such as its own rises.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2022
$15.6m
EARLY VC
Jan 2021
$3.2m
SEED
Total funding: $19.4m
Company benefits
- Competitive compensation package that includes salary, benefits, and stock options of Superchat. We want everybody to be a true owner in Superchat
- 26 days of paid vacation + 2 days off for Christmas and New Year's Eve (because we love what we do, but we also love vacation!)
- Regular company and team events like pizza & bear evenings, sport activities, Christmas parties, and more!
- Annual personal development budget of €500 for conferences, courses, books, career coach, etc
- An inclusive and exciting start-up environment culture that offers accelerated career and personal growth
- Beautiful office in the heart of Berlin (Hackescher Markt) equipped with ergonomic chairs, height adjustable desks, free snacks, beverages and overall good vibes
Company HQ
Mitte, Berlin, Germany
Leadership
Mika Hally
(Co-Founder)Previously a Co-founder at Unicorn and Keeet, with a prior background in Product Ownership and Marketing / Communications.
Yilmaz Köknar
(CEO & Co-Founder)Has previous experience in Product Management from time spent at the Digital Product School, subsequent to which he co-founded Unicorn.
Salary benchmarks
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