Wire · Munich
Senior Solutions Engineer
Enterprise discovery and solution design for regulated and public-sector organizations; PoVs, security review, RFP/RFI response, and repeatable presales systems.
SOLUTIONSENGINEER
Hena KlessView LinkedIn ↗
Hi, future colleague.
I built this experience just for you.
I’m Hena, a solutions engineer that would love to work with you in Munich! Curiosity is what drives me everyday and helps me turn complex enterprise needs into practical use cases, measurable business value and actionable next steps. My goal is to align customers, product, and delivery from discovery to adoption and beyond.
My background is in cybersecurity, but the operating environment is remarkably similar to AI: constant change, a huge amount of noise, and yesterday’s assumptions needing to be challenged continuously. It taught me to identify reliable signals, communicate responsibly under uncertainty, and stay close to both customers and product teams.
At Wire and LastPass, I have worked as the bridge between customers, product, and delivery— validating valuable use cases, defining success criteria, influencing the roadmap, and helping customers understand both the product today and the longer-term vision. AI expands that problem space enormously: more room to experiment, build, and learn hands-on.
I love that every day brings a new challenge to face. But there are some things I’d rather avoid. Like this…
Keep scrollingTuesday · 4:42 PM · the calendar ambush
MODERATOR’S NOTE
Let’s find out A “super promising” opportunity sounds like a great, qualified lead with a proper briefing.
Right? …right?02 / THE EXPERIENCE
Discovery starts before the meeting.
Help create the lead that came in through the website.Choose the contact and company independently, then edit their inquiry. OpenAI will generate a fresh, seven-part briefing from the fictional scenario you assemble.
D What the AI briefing considersView briefing recipe +
ROLE
Enterprise sales researcher for a first discovery meeting.
The live AI reasons over the fictional lead, company profile, scenario signals, and inquiry you select. Product fit stays open until the use case has been analyzed: ChatGPT Enterprise or Business, Codex, the OpenAI API Platform, an agentic or multimodal application, Realtime, or a combination. Hypotheses are explicitly framed for validation rather than presented as externally researched facts.
Maximum output: one A4 page- 01Person, company, and likely buying authority
- 02Business trigger behind the inquiry
- 03Specific, valuable AI workflows
- 04Best-fit OpenAI product motion
- 05Technical, security, data, and compliance needs
- 06Risks, objections, competitors, and buying process
- 07A focused first-discovery meeting plan
03 / THE SHORT VERSION
A brief summary of Hena Kless.
Senior Solutions Engineer with 6+ years turning complex enterprise requirements into secure, commercially viable solutions—from discovery and architecture through PoV, security review, and expansion.
- 235%
- ARR growth in year two
- 35+
- talks and webinars
- FY24
- President’s Club
LastPass · Munich
Solutions Consultant → Senior Solutions Consultant
Led secure SaaS evaluations and technical validation; earned President’s Club 2024 and Solutions Consultant of the Quarter.
Lombego Systems · Weimar
Project Management Assistant → Solution Consultant
Built customer and product expertise across onboarding, presales consulting, training, support, and international adoption.