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Doppel

<div>
 
 Why Join Doppel
 
 
 
 Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world&rsquo;s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
 
 
 Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet&rsquo;s most urgent trust and safety challenges.
 
 
 
 What We're Building
 
 
 
 We're building the AI-native social engineering defense platform.
 
 
 This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
 
 
 
 What We're Looking For
 
 
 
 We&rsquo;re looking for an experienced backend engineer to build out the infrastructure required to rapidly scale up our engineering organization. A few examples of the work we&rsquo;ve done recently:
 
 
 <ul>
 <li>
 Built a scalable data platform with a robust DBT transformation layer, enabling customers, engineers, and analysts to reliably model and query large-scale event data, track key product metrics, and power customer facing analytics.
 </li>
 <li>
 Launched a flexible notification system, delivering timely, reliable alerts across Slack, email, and other channels for internal and customer-facing use cases.
 </li>
 <li>
 Standardized core service patterns and shared business logic (auth, persistence, messaging), scaling them into reusable services that reduce duplication, ensure consistency, and enable product engineers to move faster as the company grows.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
 
 
 🍽️ Free lunch and dinner in the office
 
 
 🌴 Flexible PTO
 
 
 ✈️ Quarterly team offsites
 
 
 Join Doppel
 
 
 Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
 
 
 We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
</div>

Software Engineer, Platform

Blue Orange Digital

<div><h3 class="jobSectionHeader">Company overview:</h3>
Blue Orange Digital is a boutique data &amp; AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We&rsquo;re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.<h3 class="jobSectionHeader">
Position overview:</h3>
The ideal candidate is a US-based Senior Data Engineer who can step into an established enterprise data warehouse environment as a hands-on contributor and a peer-level thought partner to the client's data leadership. This role requires someone who can hit the ground running on a complex Oracle and Oracle Cloud Infrastructure (OCI) stack, plus AWS, bring opinionated patterns and alternatives to the table, and operate independently without day-to-day direction.
The successful candidate will balance maintaining a stable, well-established production environment with helping shape the next generation of the platform, including the team's adoption of Apache Iceberg, lakehouse patterns, and cloud-native ETL.
Note: This is a contractor role with potential expansion to full‑time employment, depending on performance and business needs.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.</li><li>
Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.</li><li>
Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic.</li><li>
Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.</li><li>
Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.</li><li>
Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.</li><li>
Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.</li><li>
Perform light Linux server administration and performance tuning on existing ETL infrastructure.</li><li>
Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction.</li><li>
Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
5+ years of hands-on data engineering experience in Oracle-centric enterprise data warehouse environments.</li><li>
Current, hands-on experience with Oracle Cloud Infrastructure (OCI), specifically OCI Object Storage, OCI Data Transforms, Oracle Data Catalog, and OCI ETL patterns. Candidates needing ramp-up on OCI fundamentals will not be considered.</li><li>
Strong Oracle expertise, including advanced SQL, complex joins, performance tuning, and the ability to navigate a mature data warehouse with significant legacy business logic.</li><li>
Dimensional modeling proficiency, including star schemas, facts and dimensions, and slowly changing dimensions.</li><li>
Working knowledge of lakehouse concepts, including the role of object storage in a hybrid data warehouse and lakehouse architecture.</li><li>
Solid core ETL and ELT skills, including orchestration, error handling, dependency management, and high-volume batch ingestion.</li><li>
Working knowledge of Linux, including shell scripting, SSH-based administration, and basic server maintenance.</li><li>
Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.</li><li>
Excellent written and verbal communication. Able to operate as a peer-level collaborator with senior client subject matter experts.</li><li>
US-based with Eastern Time business-hours overlap.</li></ul><h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul><li>
Hands-on Apache Iceberg experience, including table format, metadata layer, and migration patterns.</li><li>
Production Pentaho experience.</li><li>
Experience with AWS S3 to Oracle ingestion patterns and cloud-to-warehouse data lake integration.</li><li>
Exposure to high-volume transactional reporting domains.</li><li>
Master Data Management or golden record program experience.</li><li>
Background in data warehouse modernization or lakehouse migration projects.</li></ul>
Compensation: $126,000 &ndash; $147,000 USD/year (or $10,500 &ndash; $12,250 USD/month)
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.</div>

Senior Data Engineer

Nebius

<div><div>About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</div><div>

About Tavily 
 
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Role:
</div>
We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
What We're Looking For (Must Have):
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
Nice to have:
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li>
</ul><div>
Benefits &amp; Perks:
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and ownership</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.</div></div>

Senior Business Systems Engineer (Agentic Search) - Tavily

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising sits at the intersection of e-commerce and advertising, helping brands reach customers across owned surfaces, the open web, and streaming media. We build with the advertiser as the starting point and work backwards from what they need to run effective, measurable campaigns at scale. 
 
We're looking for a Sr. Software Development Engineer to join the Personalization &amp; Guidance team &mdash; a high-growth team building AI-native systems that make advertising more intelligent, transparent, and effective for the advertisers who rely on them every day. 
 
Advertising personalization is a well-studied domain. What makes this team's work different is the explainability constraint &mdash; we're building systems where the why behind a recommendation is a first-class product concern, not an afterthought. That drives real architectural decisions: how you store and version the inputs to a decision, how you surface confidence, how you maintain auditability across distributed agent systems, and how you enforce content quality standards at render time rather than at authoring time. 
 
Key job responsibilities 
You'll work on systems that sit at the core of how advertisers understand and act on their advertising performance. The problems are technically hard: 
<ul><li>Personalization at scale &mdash; building and maintaining structured models of advertiser behavior, goals, and preferences that update continuously across millions of accounts and inform real-time decisions</li><li>Real-time ML inference &mdash; systems that evaluate and rank recommendations, guidance, and actions at high volume with tight latency constraints across distributed infrastructure</li><li>Explainable AI systems &mdash; infrastructure that makes automated decisions auditable and legible to end users, not just to engineers. This includes stable data models for tracking decision inputs, surfacing confidence signals, and rendering explanations that advertisers can inspect and act on</li><li>Multi-agent coordination &mdash; APIs and contracts that allow multiple specialized AI agents to contribute outputs into a unified experience, with quality enforcement at the delivery layer</li><li>Event-driven data pipelines &mdash; high-volume ingestion, processing, and serving of advertising signals that feed both the ML models and the real-time recommendation systems</li></ul> 
A day in the life 
You'll work in a space where ML infrastructure, distributed systems, and product-quality UX concerns intersect daily. 
 
Technology You'll Work With: 
<ul><li>Large-scale distributed systems built on cloud infrastructure (microservices, event streaming, real-time serving)</li><li>Machine learning infrastructure &mdash; model serving, feature stores, A/B testing frameworks, online evaluation</li><li>Large language models and agentic AI systems &mdash; integrating LLM-powered agents into production advertising workflows, with the reliability and observability requirements that entails</li><li>High-volume data pipelines processing advertising signals across formats and surfaces</li><li>API design for multi-team and multi-agent consumption patterns</li></ul> 
About the team 
What We're Looking For: 
<ul><li>Strong distributed systems fundamentals &mdash; you've built services that have to be both fast and correct under real traffic</li><li>Experience with ML infrastructure or production ML-adjacent systems; you understand what it takes to build reliable systems around probabilistic models</li><li>Product instincts &mdash; you care that the output is useful and legible to the person using it, not just that the pipeline ran successfully</li><li>Comfort with ambiguity &mdash; the team is working in a fast-moving space where some of the right architectural decisions are still being established</li><li>Strong written communication &mdash; our most consequential technical decisions live in design documents, and engineers are expected to author them</li></ul> 
If you want to work on systems that are technically sophisticated, have real daily impact on advertisers around the world, and are building into a space &mdash; AI-driven advertising &mdash; that is genuinely changing how the industry works, this team is worth a conversation.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually</div>

Sr. Software Development Engineer, Guidance & Personalization

Tavily

<div><div>About Tavily 
 
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Role:
</div>
We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
What We're Looking For (Must Have):
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
Nice to have:
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li></ul></div>

Senior Business Systems Engineer (Agentic Search)

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 
</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 
</li>
<li>3 years of experience in a technical leadership role.</li>
<li>2 years of experience in a people management or team leadership role.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. 
 
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 

Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. 
</li>
<li>Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. 
</li>
<li>Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs. 
</li>
<li>Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. 
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineering Manager II, AI/ML, Google Cloud Compute

Cloaked

<div>Cloaked is a consumer privacy and identity platform on a mission to give people back control of their personal data. We let anyone generate unlimited identities - masked emails, phone numbers, and payment cards - scrub their information off data-broker sites, and shield themselves from spam, scams, and breaches, all from one app. Backed by a $375M Series B, we've protected 10M+ identities and removed 1B+ records from the data brokers who profit off personal information. Now we're building the AI-native future of privacy: autonomous agents that monitor, manage, and defend your digital footprint for you.
ABOUT THE ROLE
We're looking for a Senior Software Engineer, AI to lead the development and strategic direction of Cloaked's AI Agents - autonomous agents that act on a user's behalf to monitor, manage, and enforce their privacy across their entire digital footprint. They find where your data is exposed, take action to remove it, and continuously defend your privacy in the background - turning what's always been a manual, reactive chore into something automated and continuous. 1B+ records removed to date, and now we're automating the entire fight. 
 
You'll own the technical roadmap end-to-end: agent architecture and orchestration, tool-use and integrations across third-party services, reliability and guardrails for non-deterministic systems, adversarial robustness against hostile web content, and the cloud infrastructure underneath. Long-term, this role grows beyond Agents. You'll contribute across Cloaked's engineering org and help shape how we build AI-native consumer products at scale.
WHAT WILL YOU DO?<ul><li>
Lead the technical roadmap and architecture for Cloaked's AI agent platform</li><li>
Design and build production agents that monitor, manage, and enforce users' privacy across their digital footprint autonomously</li><li>
Build agents that take real action on users' behalf - submitting data-removal requests, navigating opt-out flows, and adjusting privacy settings across hundreds of services</li><li>
Build defenses for adversarial environments, including prompt injection, untrusted web content, and hostile data sources</li><li>
Integrate and evaluate frontier models (LLMs, agent frameworks, tool-use) for production use</li><li>
Own the orchestration layer, integrations, and the cloud infrastructure the agents run on</li><li>
Collaborate with design, mobile, and product teams to ship agent experiences that feel effortless to end users</li><li>
Serve as the AI agents domain expert on the team, raising the engineering bar through code reviews, architecture discussions, and mentorship</li><li>
Help the team ship features faster and with fewer bugs by setting the technical standard for the product</li><li>
Actively leverage AI tools in day-to-day engineering work</li><li>
Contribute across engineering teams beyond Agents as the business scales</li></ul>
WHAT SKILLS AND EXPERIENCES WILL HELP YOU?<ul><li>
Strong software engineering fundamentals - production systems, distributed systems, real-time infrastructure</li><li>
Hands-on experience building agentic or LLM-powered products in production</li><li>
Proficiency with modern agent stacks: LLM orchestration and agent frameworks (LangGraph, LangChain, LlamaIndex, or similar), tool-use/function calling, and RAG</li><li>
Deep familiarity with LLMs, evals, and prompt engineering in production environments</li><li>
Experience building reliability and guardrails into non-deterministic systems</li><li>
Proficiency in Python and/or Go, with a track record of building scalable backend systems</li><li>
Experience designing and deploying secure, production-grade APIs</li><li>
Strong understanding of cloud infrastructure (AWS, GCP) and containerized deployments</li><li>
Track record shipping consumer products at scale</li><li>
Active daily use of AI coding tools (Cursor, Claude, Codex) with strong prompt judgment and tool selection instincts</li></ul>
WHAT'S NICE TO HAVE?<ul><li>
Experience with browser automation, headless automation, or web scraping at scale</li><li>
Background in agent observability, eval frameworks, or LLMOps</li><li>
Familiarity with adversarial ML, AI safety, prompt-injection defense, or anti-fraud system design</li><li>
PII handling and sensitive data awareness</li><li>
Prior exposure to consumer privacy or security-focused products</li><li>
Experience with workflow orchestration and job scheduling at scale</li></ul>
WHAT DO WE LIKE?<ul><li>
Passion for security, privacy, and internet ethics</li><li>
Curiosity and constant learning at the frontier of agentic AI and applied ML</li><li>
Strong analytical thinking with proactive problem-solving abilities</li><li>
Ownership mentality - comfortable holding the pen on technical direction</li><li>
Effective team player in high-velocity environments</li><li>
Comfortable mentoring and knowledge sharing across teams</li><li>
Experience in startups or growth-stage companies</li><li>
Interest in data tracking, analytics, and product instrumentation</li></ul><h2 class="jobSectionHeader">
What We Offer</h2>
Cloaked is a well-funded Series B startup based out of NYC.
Although we are a distributed team, the NYC team operates with a hybrid model. The office building is home to several amenities, including a gourmet cafe, cocktail bar, and a rooftop work area.
We have a fully built out kitchen packed with drinks and snacks. The Cloaked team has diverse interests and so we frequently embark on team outings and go out for socials!<div> 
</div><h2 class="jobSectionHeader">
Compensation and Benefits</h2>
We offer above market rate pay and equity based off of the market&rsquo;s best commercially available data. Your compensation will be a combination of salary, bonus and equity.
Cloaked employees have 401K, as well as top of the line Health, Dental, and Vision benefits.
We offer flexible work arrangements and the ability to work remotely as needed. Cloaked provides a home office stipend in addition to a new company laptop (and other tech depending on the role).<div> 
</div><h2 class="jobSectionHeader">
Perks</h2>
Competitive PTO: We encourage employees to take a minimum # of vacation per quarter. We see PTO as a preventative burnout measure and are committed to changing the industry standard.
Monthly health stipend: Used for any kind of physical, mental or emotional care you&rsquo;d like to take for yourself, be it a gym membership, a meditation app, or time with a personal trainer.
Late Night Meals: We understand that sometimes work can get in the way of meal prep. In response to that, we offer employees a monthly meal stipend to be used when they don&rsquo;t have time to get a home cooked meal going!
Professional Growth: Opportunities for career development and personal growth are provided to all employees who seek to further their knowledge and capabilities through an unlimited professional development fund. Additionally team members are encouraged to regularly attend conferences and industry events.
We are really excited about having you join our mission-driven team and help us build the future of online privacy!<div></div> 
Compensation Range: $180K - $250K</div>

Senior Software Engineer, AI

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