
Secfix · Remote-Munich
Location: Remote (EMEA) · Germany/Munich preferred - CET/CEST timezone Hi — I'm Grigory, Co-Founder and CTO at Secfix. How do you feel about shipping feature...
Location: Remote (EMEA) · Germany/Munich preferred - CET/CEST timezone
Hi — I'm Grigory, Co-Founder and CTO at Secfix. How do you feel about shipping features yourself in the first month, building the
hiring process in the second, and coaching engineers to get measurably better in the third and staying close to building longterm?
If that sounds like the right order — strong engineer first, manager second — read on.
I've spent most of my career believing that the best engineering leaders aren't the ones who run the most meetings. They're the
ones who make everyone around them faster, clearer, and more confident — and they can do that because they've been through the
hard technical problems themselves.
At Secfix, I've been doing the engineering management work: 1:1s, hiring, design reviews, performance conversations since we
started. The team is five engineers and a product designer. They're great, they work hard, and they ship. But I'm spread across
too many things, and certain areas aren't getting the attention they deserve.
I need someone to take this on. Not as a delegator, but as the strongest individual contributor on the team who also happens to
lead it.
You'll work directly with me and make huge impact on the engineering culture and our customers.
— Grigory
Over 1.78 million SMBs in Europe need to comply with security frameworks — ISO 27001, GDPR, TISAX, SOC 2 — just to sell to
enterprise customers. The process is manual, painful, and takes over a year. We automated it.
Our platform integrates with a company's full tech stack — AWS, Azure AD, Jira, GitLab, GCP, and more — automatically extracts
compliance evidence, and guides teams to certification in weeks instead of months. Our fastest customer certified in 4 weeks
instead of the industry-standard 12+ months.
We've raised €17M in total (€12M Series A), backed by Alstin Capital, Neosfer (Commerzbank), and Bayern Capital. We're on a
profitable trajectory, growing fast, and building the team that will take us to European market leadership.
This space is not threatened by AI, it's amplified by it. Compliance requires deep domain expertise combined with automation. Our
new AI product (CISO AI) is just getting started, and there's a huge amount of engineering work ahead: agentic workflows,
intelligent evidence collection, context-aware policy generation, and more.
This isn't a role where you show up and start running standups. There are no standups. Here's how we think about the first months:
Month 1: Become a strong IC. Get into the codebase, ship a meaningful feature, and prove to yourself and the team that you can
build at the level we need. You don't need to be the best senior engineer on day one, but you should be onboarded and delivering
high-quality work fast enough that you can credibly help others improve. Expect to spend 70–80% of your time writing code.
Month 2: Own hiring. Beyond continued IC contributions, take over engineering interviews and build a better technical interview
process. The current setup depends too many people. You'll design technical challenges, run screens, and make hiring more
consistent and repeatable. This matters — we're planning to double the team in the next 12 months.
Month 3: Start leading. Help design a pragmatic way to evaluate team performance — simple, measurable, not bureaucratic. Start
doing more regular 1:1s with each team member, focused on three things: output x impact, quality, and AI efficiency. Identify
who's behind and help them improve. Remove obstacles from top performers.
Over time, the balance shifts. Coding goes from 70% to 10–20%. Hiring becomes the plurality of your work, we’ll grow the team from
5 engineers to 9 in the next months (50–70% during active hiring, 20–30% after). Mentorship and process improvement grow as the
team grows. But you never fully stop building — you stay in the code enough to have credible technical judgment. I see this
pattern across all our best leaders, from Lead CSM to Lead GTM.
In addition to management work, here are examples of projects you'll work on in the next months:
architecture, getting alignment, and driving it to production. And leaving the system in a state the team can own.
need more granular RBAC, sub-workspace collaboration, and new control layers. You'll help build what makes that possible.
backend architecture for agentic compliance workflows, intelligent evidence collection, and context-aware policy generation.
and you share that curiosity openly. You try new tools, figure out what works, and bring the rest of the team along. Not
through formal sessions, but through the natural back-and-forth of working together day to day.
When something breaks in production, some managers think: "We need a better incident response runbook. Let's create an on-call
rotation. Let's add a post-mortem template." They reach for systems and documentation.
The person we're looking for thinks: "Who on the team has the most context on this service? Is someone blocked or can they jump
in? Let me get the right two people talking to each other." They reach for individuals and their capabilities. This comes once you
solved the problem, not before.
This matters more to us than almost anything else. At five engineers, we don't need a rigid process. We need someone who knows
exactly what each person is good at, what they're struggling with, and how to get the best out of them today — not after
implementing a framework.
We've written in depth about our engineering culture. Here's the short version — read the full articles linked below if you want
the real picture.
walkthroughs, Notion for specs, Gather for pairing, and Slack only for what's urgent or lightweight. We don't do status
theatre. We wrote about our thoughtful communication and our remote culture, give it a read.
To drive it home, here's a recent calendar of an engineer who has been with us for over a year:
ships, and dissolves. No standing squads, no permanent team structures — at least not yet. The people closest to the problem
usually shape the solution.
encoded skills and rules that live in the codebase — component patterns, folder structure, architecture choices, and the path
from Figma to Angular code. AI checks code against architecture rules before human review. We have a dedicated design QA skill
that compares Figma against coded output. We don't use AI to lower the bar, we use it to reach the bar faster with more
iterations behind us. In case you’re interested, we wrote a piece about it here.
don't sit in a backlog competing with roadmap work. Critical issues get fixed immediately. High-severity within 48 hours. Every
bug has an owner. Weekly quality review as part of Monday planning. Quality as identity, in compliance, being correct isn't a
nice-to-have, it's the entire value proposition. We care about edge cases, data integrity, and getting the details right.
Customers notice the speed and polish before they can name it. That kind of quality builds trust. In our category, trust is the
product.
people with great taste who treat feedback as signals, not KPIs. We stay close to customers — CS check-ins, support tickets,
Mixpanel events, onboarding calls — but none of these sources makes the decision for us.
cases, data integrity, and getting the details right. Customers notice the speed and polish before they can name it. That kind
of quality builds trust. In our category, trust is the product.
We're looking for a specific profile. I'd rather be honest about it up front.
skip into management early because coding wasn't working out. You were already promoted to that level and stayed there,
growing, before choosing to lead.
ambiguity at the start of a project and messy reality at the end. You write a clear technical design before you start
developing — and you hold that design loosely, adapting when you get good feedback.
what holds them back, and how to move them forward. You have a nuanced answer and opinion.
projects. You have opinions about how AI changes the engineering workflow from ideation to release, and you want to push a team
to get continuously increase velocity.
and ship it."
and high-performing as it grows even though there is little process.
shared, you take it seriously. But are not scared about jumping in a pair programming session either.
this transition early. That's fine — but it's not what we need today. We need someone who's been in the codebase themselves
recently, not someone who managed people who were for many years.
profile. We need someone who's been through the challenges we have right now growing from 4 to 8 engineers in age, not a
strategist.
person on it immediately. We believe the answer to most engineering problems is better people with better context and more
ownership — not more templates. Process improvements need to be made but in the second step.
features, they help team find better ways to build them.
rather than building.
specs) for the sake of hiring numbers. We disagree, and we want someone who actively disagrees with status quo too.
— that's it. If the level on your LinkedIn profile is important to you, we're probably not the right fit. Most of people we
hire into senior roles come from Staff/Principal level.
principal engineer level or equivalent
similar stage company
doesn’t
work across multiple languages including Python and Golang
We want to see how you think, build, and lead — not test you on algorithms. Here's the process:
Then you’ll get the offer! If we don't make an offer, we'll tell you why.
About DataCamp At DataCamp, we believe in empowering individuals and teams through data literacy. As a leading platform for data science and analytics education, we offer engaging, interactive courses designed by top experts. Our mission is to make data skills accessible to everyone, helping learners and organizations thrive in the data-driven world. With a diverse community of millions of learners, we provide a supportive and dynamic environment where you can grow your career and make an impact. Join us and be part of our journey to democratize data education! About the role We're looking for an Engineering Manager who brings real passion, innovation, and entrepreneurial drive to leading the teams behind the systems that power how millions of people learn. You'll partner closely with Product and Design to shape your team's direction, drive execution, and continuously raise the bar on how we build and ship. You'll lead a cross-functional product engineering team that takes large, ambiguous projects from idea to impact with real autonomy — prototyping, measuring, and iterating in fast feedback loops rather than grinding through tickets. Your primary mission is to ensure the team ships high-quality software that delights learners, while cultivating a culture of ownership, urgency, and accountability. You'll also help drive the technical roadmap, balancing new feature development with platform robustness and performance. This is an AI-native organization, not an AI-curious one. Agentic coding tools like Claude Code and Codex are core to how the team works every day, alongside LLMs and AI APIs. As the manager, you set the tone: you're expected to be hands-on with these tools yourself, to push your engineers to use them to prototype faster and raise quality, and to build a team culture where AI fluency is the baseline, not a bonus. If you're excited about leading great engineers, shaping the future of how DataCamp builds and ships, and growing a team that operates at scale, we'd love to hear from you. Responsibilities * Build and develop a high-performing full-stack team, and foster a culture of ownership, urgency, and accountability that gives engineers the autonomy to make their projects count. * Drive delivery of high-quality software end to end — idea, build, release, measurement, iteration — balancing delivery speed with long-term code and platform health. * Set a high bar for agentic tooling and keep raising it — so the team prototypes faster, ships higher-quality code, and spends more time on the problems that matter most. * Partner with Product and Design to define and execute the team's roadmap, using data, metrics, and user feedback to decide what to build next. * Lead technical decision-making and architecture for scalability, reliability, and maintainability — increasingly for LLM-powered services — and champion strong practices in testing, observability, and code quality. What are we looking for? * You have 7+ years building software across the stack with a clear command of scalable system design, modern API design, and software lifecycle best practices — experience with our stack (TypeScript, Node.js, React) is a strong plus. * You've spent 3+ years leading engineering teams and seen people grow under your guidance. You're a strong communicator — you listen well, speak clearly, and build trust across Product, Design, and Data. * You thrive in fast-paced, high-velocity environments — start-up or early-stage experience — moving fast, staying focused on impact, and driving projects forward with a strong sense of ownership. * Proven ability to deliver high-quality software in cross-functional product teams, taking large, ambiguous problems end to end. * You're AI-native — agentic coding tools (Claude Code, Codex) are part of how you work, and you have a credible point of view on integrating them into an engineering team's workflow. Bonus if you've written your own skills or wired up MCP servers and can show us what you've built. * A strong product mindset paired with pragmatism — you understand your users, weigh data and feedback with good taste, and make sharp trade-offs to drive decisions rather than chase perfection. What’s in it for you? In addition to joining a creative and international start-up, you'll enjoy: * An exciting role with both technical and people leadership challenges every day. * A competitive salary with fringe benefits. * Flexible working hours and location. * International company retreats. * Learning and development. We encourage continued education through a conference budget and external training. * Working with a great team (everyone says this, but we're serious — we're pretty great).
We’re looking for an Engineering Manager to join Smartly and lead one of our teams within our 250+ person Product & Engineering organization. In this role, you’ll lead a team building the next generation of AI-driven workflows on top of our core product. From creative manipulation and editing to intelligent automation that helps our customers produce high-performing content at scale. This is not just about shipping features, but about crafting experiences and workflows our customers will genuinely love and rely on. As an Engineering Manager, you’ll be responsible for guiding your team to deliver meaningful, high-quality outcomes with clarity and purpose. You’ll invest deeply in your people through coaching, regular 1:1s, and thoughtful development planning, while proactively removing obstacles and creating an environment where engineers can do their best work. This is a unique opportunity to shape a cornerstone product at the intersection of AI, creativity, and performance marketing. You get to lead a talented team solving problems that directly impact customers worldwide. Tech Stack: NodeJS, TypeScript, React, Kubernetes, PostgreSQL, Redis, Kafka Read more about the our developer ways of working: Engineering at Smartly WHAT YOU’LL DO: * Build and lead an autonomous Fullstack development team. Lead by example. * Facilitate the team at team level. Enable them. * Care about your team members' growth and development. Go far together. * Tackle ambitious technical problems and add your mark to our Engineering culture. Help us grow. WHAT WE’RE LOOKING FOR: * You are an experienced people leader with proven ability in building and leading high-performing teams * You have experience throughout the full software life-cycle in an environment with multiple teams * You have built and maintained large-scale, high-availability web applications with an active and growing user base * You have experience in various agile development practices as well as the pragmatism to know which tradeoffs are acceptable and a sharp focus on delivery. * Ability to deliver constructive feedback that leads to meaningful changes and growth. * Empathy and user-focused mentality: you care deeply about the product experience, you understand users’ motivations and frustrations, and you genuinely want to help them * You are a skilled developer. You will need to be also hands-on when coaching the team members to new technical and professional heights, which can involve code reviews, pair programming, etc * You are able to work on-site at our Mexico city office 3 days / week Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook! WHAT TO EXPECT FROM OUR RECRUITMENT EXPERIENCE: * Meet your Recruiter: Get to know each other and learn about working at Smartly. * Meet the Hiring Manager: Gain deeper insights into the role. * Technical Interview: Engage in an interactive discussion around Systems Design and Architecture. * Leadership Skills: Final discussion will be focusing on your experience as a manager. ABOUT SMARTLY Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.
MongoDB is seeking an Engineering Manager to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Clusters Fleet Signal Management team is a product engineering team that builds machinery to rollout hardware and software to the Atlas data plane, detect regressions at scale, and automate remediative actions. The core mission is to establish platform stability by owning the rollout and monitoring systems designed to swiftly detect and mitigate potential issues. We are forming a new Atlas Clusters Fleet Signal Management team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin for our hybrid working model. WHAT YOU’LL DO * Lead a team of motivated individual contributors who are eager to learn and grow * Contribute to the code, design, and architecture of the systems your team develops * Work with stakeholders throughout MongoDB to build our roadmap and product offerings * Work with customers and support engineers to fix issues and become part of our on-call rotation * Collaborate with team members to develop our codebase, best practices, and design principles * Foster an inclusive and respectful work environment according to MongoDB's Core Values WE’RE LOOKING FOR SOMEONE WHO * Has at least 8 years of professional software development experience * Has at least 3 years of people management experience * Has led engineering teams that have built and maintained large scale systems * Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.) * Has experience with streaming architectures * Has experience with at least one major cloud provider technology (AWS, Azure, GCP) * Has experience deploying various types of software to a fleet of VMs * Is eager to solve tough problems * Has excellent communication skills * Is curious, collaborative, and motivated SUCCESS MEASURES * In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Clusters team * In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth * In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation. ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 1273387832