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Requirements:
Deep, hands-on WAF expertise across multiple major providers - you've written, tuned, and operated real rules in production on several of: AWS WAFv2, Cloudflare, F5, Imperva, Akamai, Azure, GCP, Fortinet, ModSecurity/CRS. Not "managed a WAF vendor relationship" - written the rules.
You know the caveats cold. Body-inspection limits and oversize handling, text transformations and normalization order, encoding and unicode evasion, parameter pollution, chunked and multipart edge cases, rule precedence and evaluation order, WCU/capacity economics, and how each provider's expression language quietly differs from the others.
Strong security research background - application security, vulnerability research, or offensive security. You can read an advisory, build the PoC, derive the variants nobody published, and explain exactly which request component carries the exploit primitive.
A real feel for the false-positive tradeoff. You've had to defend a blocking decision to someone whose production traffic you broke, and you know why "block everything suspicious" is not a security posture.
Comfortable in code. Enough Python (or similar) to automate replay, build variant generators, and query exploit and traffic data yourself rather than waiting on someone.
Fast under pressure, systematic afterward. You can get a solid rule out the door when a customer needs one today - and your instinct once it ships is to build the check that catches the whole class, not just the instance you fixed.
Advantage: virtual patching / vulnerability-mitigation experience, or time on a WAF vendor's rules or research team.
Advantage: hands-on with LLMs and agentic tooling - you'll be shaping an AI system's output, and it helps to understand how it fails.

Requirements:
Experience
6 years of B2B marketing experience in technology companies.
3+ years in a senior leadershiprole, reporting to a CEO
Proven hands-on ownership of campaigns, messaging, and pipeline metrics - not just oversight.
Demonstrated ownership of an annual marketing budget.
Track record of contributing materially to pipeline and revenue targets.
Domain and GTM Expertise
4+ years background in SaaS, software infrastructure, developer tools, cloud, open-source, or platform businesses.
Hands-on experience with B2B, PLG, and PLS motions.
Strong preference for candidates with an engineering background or significant experience at a company that sells to developers or technical buyers.
Experience marketing to enterprise buyers, technical decision-makers, and product companies.
Brand and Category Leadership
5+ years leading brand strategy, positioning, and narrative development.
Demonstrated experience in category creation or category leadership, including PR, analyst relations, and executive thought leadership.
Track record of building brand equity that measurably impacts pipeline, deal velocity, or win rates.
Demand Generation
3+ years owning demand generation in B2B environments.
Hands-on experience building and operating multiple demand engines (partners, field marketing, warm demand, organic, paid).
Proven ability to generate predictable, qualified pipeline and reduce dependency on founder-led or opportunistic sales.
Experience managing demand efficiency metrics (SQLs, CAC, payback, pipeline contribution).
Product Marketing
3+ years of product marketing experience in B2B technology companies.
3+ years of experience in PLG and PLS motions
Ownership of messaging, positioning, sales enablement, and proof assets - with ability to produce them directly.
Demonstrated impact on conversion rates, win rates, and pipeline velocity.
Experience translating complex technical products into clear, credible commercial value.
Leadership and Operating Skills
Strong strategic thinking combined with execution discipline and a bias for getting things done hands-on.
Comfortable being the most senior marketer in a growth-stage environment.
Native-level English required.
Experience working in a multicultural environment.

Requirements:
Strong technical background - degree or equivalent experience in Algorithms, Data Science, Machine Learning, Computer Science, or AI research - a must
experience in Algorithms, Data Science, Machine Learning or AI research
Sharp technical skills and the ability to engage substantively with researchers on model architectures, training, evaluation, and pipelines
Strong product mindset - relentlessly focused on the "why," with customers and business value at the center of every decision
Strong drive to learn, grow, and develop - autodidact mindset is essential
Product management experience is not required; technical depth, curiosity, customer obsession, and judgment matter more
Passion for the field of visual Generative AI - a big advantage
Strong visual creative skills and a sharp eye for visual quality - a big advantage
Proactive, independent, and motivated problem solver
Excellent communication and interpersonal abilities - comfortable translating complex AI concepts
Excellent organizational skills, attention to detail, and the ability to prioritize effectively
Comfort in a fast-paced, dynamic environment; adept at multitasking and meeting deadlines
Adaptability and flexibility
A team player with self-motivation and independence