
Junior · New York City
👶 ABOUT JUNIOR We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients inclu...
We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our
clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting
practices: organisations responsible for deploying billions of dollars annually.
We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in
2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast
into new verticals including investment banking, hedge funds, and research firms.
As one of our first AI/ML hires, you'll have the unique opportunity to:
We’re live with >20 enterprise clients, and already have 10s of thousands of calls on our platform. There’s lots of data to
improve on and build.
engagement metrics) alongside semantic and PostgreSQL-based text search to improve relevance and ranking across multiple
features.
iteratively refine and improve prompts and output
clean up the last mile of great STT output: entity resolution
infrastructure to pull in data where necessary and constantly rebalance the graph and the derived output.
testable experiments.
data gathering / logging → prompt optimizing
to end
All the usual benefits (competitive pay and equity, private healthcare etc). Unusual benefits:
If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you! 🙌
Forward Deployed Engineer About the role FDEs are how Duvo brings AI to life inside our customers. You sit at the front line, map their workflows on the Duvo platform, improve the underlying processes, and turn the result into running agents that deliver tangible business impact. Scoping, build, debug, handover, expansion. You own the customer outcome end to end and you own the relationship that goes with it. You won't write the core product. You will write the glue: integration scripts, agent configurations, data transformations, prototypes, whatever it takes to get an agent running against a customer's actual systems. You'll spend real time inside their stack and inside their team. If you like the messy middle between AI, process, and customer, this is the role. You will be deployed directly with our clients, mostly in onsite/hybrid mode of work, you will travel a lot. What you'll do * Embed with customers from kickoff through go-live and beyond * Map customer workflows directly on the Duvo platform and decide what's worth automating, what's worth fixing first, and what's blocked * Improve the underlying processes where it matters. Don't automate broken flows, redesign them * Translate business logic into agent behavior: actions, decision rules, exception paths, fallbacks * Configure and ship agents against real customer systems (ERPs, portals, spreadsheets, email, custom tools) * Write integration code, scripts, and prototypes when the situation calls for it * Debug live agents in production environments and iterate quickly * Build and own the working relationship with customer stakeholders, from operators to sponsors * Run working sessions, hold your own with technical counterparts, and earn the right to push back * Make AI real for the customer. Move them from pilot energy to measurable business outcomes * Capture reusable patterns, templates, and runbooks so the next deployment is faster * Send recurring workflow patterns back to Product and Engineering as real signal What success looks like * Multiple agents in production across clients, with measurable business impact * Customers point to specific KPIs that moved because of your work * Customers treat you as a trusted operator and want you in the room * Process improvements you drove are visible in the customer's day-to-day, not just in the agent * Transformation Managers want you on their hardest accounts * Accounts you own expand because the relationship and the results are both there * Each deployment is faster than the last because you've left behind reusable assets Who you are Experience 5+ years in roles where you've shipped against real customer environments. We're prioritizing AI-native candidates: people who have been building, deploying, or operating AI and agentic systems in customer-facing settings, not adjacent to them. Likely backgrounds: * Forward-deployed engineering or solutions engineering at an AI-first company * Applied AI / ML engineering with direct customer exposure * Technical consulting on AI or automation projects where you owned delivery and the client relationship * Operations or product roles where you've built and shipped AI-powered tooling against messy real-world systems Retail, e-commerce, or CPG background is a strong plus. Fluency in any operational domain (supply chain, procurement, category management, merchandising, finance ops, supplier management, warehousing) helps you ramp faster on customer accounts. What matters most is that you can pick up a new business quickly, see how to improve it, and build something with AI that actually works. Skills * Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval * Strong systems thinking and engineering judgment * Process design instinct. You can spot waste, redundancy, and bad handoffs and propose something better * Comfortable in code-adjacent territory: SQL, Python or JS scripting, APIs, JSON, webhooks, light data work * Familiarity with ERPs and enterprise stacks is a plus * Able to lead a working session, manage a stakeholder, push back on bad scope, and explain trade-offs without hiding behind jargon * Fluent English. Additional European languages are a plus Mindset * Bias to ship * Comfortable with ambiguity, half-built systems, and changing requirements * Low ego, high standards * Customer-obsessed. You build trust by being useful, not by being polished * Commercially aware and able to help customers believe in what you're building * Honest about what's working and what isn't What we offer * A small, sharp team that values ownership and candor * Real product and culture leverage from day one * Customer-facing impact: your work ships and moves the business * Competitive comp including equity * Option to trade cash for equity HOW WE HIRE We respect your time and aim to move fast: 1. Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit. 2. Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode. 3. Deep dive to the remote task with hiring manager (online, ~1 hour). We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build. 4. Trial day (online or onsite, 1 day) 5. Founder interview (online, 20min) We're not looking for perfection. We're looking for someone who can walk into a customer's operation, figure out what matters, fix the process, ship the agent, and turn AI into outcomes the business can feel.
ABOUT OUTTAKE Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks. Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team. Outtake is backed by top-tier investors and operators who believe in our mission and our model. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers. About You Outtake is looking for a technical product champion who bridges the gap between our customers' security challenges and our AI-powered platform to join our team as a Sales Engineer. We're seeking someone who thrives at the intersection of sales and engineering, with the technical fluency to navigate complex cybersecurity environments and the communication skills to command the room with CISOs and security leaders. This person will be instrumental in supporting our most complex enterprise deals — leading technical discovery, delivering compelling demos, and designing solutions that map Outtake's platform to real-world threat landscapes. The right candidate has an insatiable curiosity about cybersecurity, genuinely enjoys solving hard problems alongside customers, and gets energized by helping close deals. What You'll Need to Bring * 2–6 years of experience in solutions engineering, sales engineering, or technical pre-sales, ideally in cybersecurity or adjacent infrastructure/SaaS * Strong understanding of modern attack surfaces, threat detection, and security operations workflows * Technical fluency with APIs, data models, and system architecture — you can speak credibly to both engineering teams and security practitioners * Exceptional communication and presentation skills across technical and executive audiences * Natural curiosity and genuine passion for cybersecurity and continuous learning * Highly adaptable with the ability to context-switch between customer conversations, live demos, and technical deep-dives What You'll Achieve * Partner with Sales to lead technical discovery and solution design for complex, high-value enterprise deals * Deliver compelling demos tailored to each prospect's security environment and threat landscape * Architect proof-of-concept deployments that showcase Outtake's agentic AI capabilities * Serve as the technical authority in sales cycles, fielding deep questions on threat classification, automated response, and platform architecture * Collaborate with Product and Engineering to translate field insights into roadmap priorities What Success Looks Like * Become the trusted technical advisor that prospects rely on throughout the sales process * Consistently contribute to deal velocity and win rates through strong technical positioning * Build repeatable demo workflows and technical collateral that scale the sales motion * Surface patterns in prospect needs and competitive intelligence that shape product strategy * Seamlessly hand off closed deals to post-sale teams with thorough implementation context Bonus Points * Background in cybersecurity — whether in security operations, threat intelligence, or selling to security buyers * Familiarity with modern AI/ML concepts, particularly as applied to threat detection and response * SQL or similar analytical/technical skills * Experience at a fast-paced startup LIFE AT OUTTAKE * Office: For those in NY, we are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter. * Health: 100% company-paid medical, dental, and vision for employees. * Time Away: Flexible PTO. We trust adults to manage energy, not clock time. * Culture & Team: Annual company retreats and regular in-person events. Outtake is an equal opportunity employer. We are committed to building a diverse, inclusive team.
We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: * Cryptography: Queryable Encryption, at-rest data encryption, and fundamental cryptographic principles. * Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management * Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) * System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. THE ROLE As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: * Build and test new security features in a large, feature-rich C++ codebase * Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes * Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code * Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. CANDIDATE PROFILE We are looking for a highly technical engineer who thrives on the theory and practice of large-scale distributed system design. * 5+ years of experience building distributed systems * Proficiency in a compiled language (C++, Rust, Go, Java, or similar). Technical interviews will be conducted in a compiled language of your choice * Ability to reason about how specific design choices impact a distributed system like MongoDB * Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB * Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture * Excellent communication skills to synthesize complex technical implications for diverse stakeholders SUCCESS MEASURES * In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs * In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features * In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 1273412835 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD