Engineering Manager, Workist
AI Solution Engineering
AI-driven business process automation
Open for applications
AI-driven business process automation
21-100 employees
Open for applications
21-100 employees
Company mission
Workist's mission is to automate repetitive business processes, giving them more time to scale the business that they love.
Role
Who you are
- 3+ years of direct people-management experience for engineers, solution engineers, or a comparable technical team, with a clear track record of developing senior talent
- You've been an engineer yourself and are technically deep enough to run code reviews, debug ERP integration issues, and discuss architecture with customers (active Python skills required, ideally experience with API integrations and ML/AI-adjacent systems)
- Experience in B2B SaaS or enterprise software with complex technical implementations (API integrations, ERP systems, or similar)
- Experience building processes, playbooks, or enablement for implementation, solution, or forward-deployed teams
- You love the combination of leadership and hands-on work, and want to stay strong in both
- Fluent English and German (C1+)
What the job involves
- As Engineering Manager, AI Solution Engineering, you lead a team of 5+ engineers who get our AI agents into production at our customers: Python-based integrations with SAP and other ERP systems, REST and SOAP APIs, data pipelines, and the configuration and rollout of our models inside complex enterprise environments (in some companies this role is called a 'Forward Deployed Engineering Manager')
- You own technical quality, architecture decisions, hiring, and the career development of your team
- You combine technical depth with genuine customer focus, and you lead a team that operates at the intersection of our product and our customers' business-critical processes
- You spend roughly half of your time on people and tech leadership, and the other half hands-on with strategically important customers
- You stay close to the code, close to the product, and set the technical standards of your team from the inside, a setup for experienced engineering managers who want to lead without losing touch with the technical work
- You work closely with our CTO (dotted line), report to our Head of Customer Success & Implementation, and are the voice of the AI Solution Engineering team in the leadership circle
- Lead, coach, and develop a team of 5+ AI Solution Engineers, including regular 1:1s, career development, and performance feedback
- Own hiring and team growth: define profiles, run interviews, and bring in additional AISEs in 2026
- Set the team's ways of working and quality bar: onboarding, implementation playbooks, quality criteria, handover to Customer Success
- Define and track the team's success metrics (e.g. time-to-value, customer go-live rate, implementation health)
- Be the voice of the AISE team in the leadership circle and partner closely with Product, Engineering, Sales, and Customer Success
- Work directly on strategically important customer projects, from technical integration (ERP connectivity, API, import/export) through to go-live
- Spot recurring patterns across customers together with Product & Engineering, and translate them into product improvements or new use cases
- As tech lead, ensure quality and scalability: code reviews, architecture decisions, technical standards across the team
- Act as the technical point of contact for customers pre- and post-sales, and ensure data privacy and compliance
Our take
Many retail and e-Commerce businesses depend on making orders through purchase order documents that they receive. Workers must manually copy data from these order sheets, double-check that it is correct, and then transfer this to an ERP or CRM system, a process that is repetitive, time-consuming, and prone to human error.
Workist provides an AI-driven business process automation tool with a focus on extracting, validating, and transferring data from purchase orders, saving businesses time and preventing expensive order mistakes. The company uses AI to process many formats of digital documents, recognize the layout and extract data accordingly, validate it to ensure 100% accuracy, and transfer it to the relevant systems.
Several other tech startups leverage AI to automate document processing, but Workist has found a gap in the market by focusing specifically on purchase order sheets, a process that is prone to expensive errors and unnecessarily repetitive workflows. The company claims that it will reduce the time spent on each order by four hours, reducing errors by 80% and saving up to $300K per year. It's clearly reaping results, having received significant funding from investors and incubator initiatives since 2019.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2022
$10.5m
SERIES A
Aug 2020
$2.8m
SEED
Total funding: $13.8m
Company benefits
- Through strong personal responsibility from day one, you will actively shape a SaaS startup in the early phase
- 30 days annual leave
- BVG ticket or JobRad for the way to work
- Annual budget for personal development
- Tools of your choice
- Flexible home office plan and the opportunity to work completely remotely outside of Germany for 4 weeks a year
- Regular team events, fresh fruit and drinks in our modern office in Berlin Mitte
- Competitive salary, detailed individual feedback discussions and great development opportunities
- Working in a flat hierarchy with an open and transparent culture of communication
- Participation in the (Virtual) Stock Option Plan
Company HQ
Mitte, Berlin, Germany
Leadership
Alexander Müller
(Managing Director & Co-Founder)Experience as Lead Data Scientist for KUBIKx. Founder and Board Member of Hackerstolz since 2015. Co-foudned Workist in 2019 as Managing Director.
Tim Wegner
(Managing Director & Co-Founder)Experience as Founder and CEO of Minodes (Telefónica) from 2013 to 2017. Co-founded Workist in 2019 as Managing Director.
Fabian Brosig
(CTO & Co-Founder)Experience as CTO for Minodes (Telefónica) from 2015 to 2019. Co-founded Workist in 2019 as CTO.
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