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we are looking for a Enterprise Business Development Representative.
As a BDR, youll play a key role in building our pipeline and creating new business opportunities.
This is a phone-first outbound sales role, with cold calling at the center of your day-to-day work. Youll combine phone outreach with email, LinkedIn, and other channels to engage prospects, understand their needs, and generate qualified meetings that contribute directly to our growth.
What Youll Do:
Run high-volume outbound prospecting, with a strong focus on cold calling and live phone conversations.
Identify and prioritize target accounts based on our Ideal Customer Profile (ICP).
Research prospects and personalize your approach based on their business, needs, and challenges.
Use email, LinkedIn, and other channels alongside phone outreach to build engagement and generate qualified meetings.
Conduct qualification calls with potential buyers and identify strong opportunities for the sales team.
Handle objections confidently and turn cold conversations into meaningful sales opportunities.
Maintain clean, accurate CRM records and track all outreach activity.
Collaborate closely with Sales and Marketing to refine messaging, targeting, and outbound strategy.
Take full ownership of pipeline quality and contribute directly to revenue growth.
Stay up-to-date on product updates, market trends, and modern sales tools.

Were looking for an exceptional Enterprise Sales Executive to help build U.S. business and drive our next stage of growth.
This is a founding sales role , with a clear focus on winning net-new enterprise customers across the U.S.
Youll build new relationships from the ground up, open doors into some of the largest organizations in the U.S., and own complex enterprise deals from first conversation through close.
This is not an account management role. Were looking for a true new-business builder - someone who knows how to create opportunities where none exist, navigate complex organizations, build relationships with senior executives, and turn those relationships into significant enterprise revenue.
Youll work directly with founders and leadership team, helping us define which customers we pursue, how we win them, and ultimately how we build a repeatable enterprise sales motion in the U.S.
If youre excited by the opportunity to combine AI, enterprise sales, and building a market from the ground up, this is a chance to have a significant impact at an early stage.

As an Adversarial AI Evaluation Scientist, you will review and validate adversarial agent tasks: indirect prompt-injection (IPI), data -exfiltration, tool-misuse, and related attack scenarios to ensure each one is realistic, fair, deterministic, reproducible, and correctly graded. You will decide whether a scenario genuinely demonstrates a model vulnerability or merely an artifact of how the task was built, and you will combine adversarial-security judgment with statistical analysis and LLM-assisted tooling to find quality issues, analyze attack-success patterns, and recommend or automate improvements. Responsibilities
* Review adversarial tasks for realism and threat-model soundness: is the attackers capability plausible, can the attacker actually reach the poisoned content, and is the target system a realistic one?
* Assess attack fairness and attribution: confirm the harm is driven by the adversary (not pre-baked into the system prompt, vouched for by a trusted layer, or otherwise rigged), so a careful agent could plausibly pass.
* Validate grading correctness: verify that success/failure criteria, reward logic, and deterministic checks detect the intended harm, with no reward hacks, token-collapse, or evadable gates.
* Measure and interpret attack success rate (ASR@K) and its variance; verify deterministic, reproducible behavior across repeated executions.
* Judge attack quality - novelty vs. known patterns, sophistication, stealth, and coverage across harm types and target surfaces.
* Identify anomalies and systemic issues across large sets of tasks (e.g. scenarios that succeed ~100% of the time against every model - a red flag for an unfair task, not a win).
* Define validation guidelines, acceptance criteria, quality thresholds, and release gates for adversarial tasks.
* Use LLMs and AI models to analyze attack failures, identify root causes, and assist with task or grader fixes.
* Build automated validation, regression, and quality-monitoring pipelines for adversarial task sets.
* Work closely with red-teamers, researchers, and task authors to improve attack design, fairness, and reliability.


About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. We are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!