Engineering Lead- Options

Keyrock

Head of Engineering: Options About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as asset and wealth management. Keyrock is looking to expand and establish itself as a full-service capital markets and asset & wealth management financial institution through both organic innovation and inorganic growth. But we’re more than a service provider. We’re an initiator. We have been pioneers in adopting the Rust Development language for our algorithmic trading systems, and champions of its use in the industry. We upgrade Web3 ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We are looking for a Head of Engineering / Engineering Lead with strong experience in systematic options trading to lead our Options Engineering team. In this role, you will be responsible for leading the Options Engineering team, driving continuous improvement across the trading infrastructure, and supporting the evolution of our systematic options trading platform. This includes areas such as automated quoting, execution, risk controls, pricing workflows, and production reliability. We are primarily looking for candidates based in European time zones or the US East Coast time zone. We are looking for someone who can: * Lead and grow an Options Engineering team of around 7 engineers * Bring hands-on experience in systematic options trading, ideally including options market-making, automated quoting, execution, and risk management * Own and evolve an existing Rust-native systematic options trading platform * Provide strong technical direction across trading infrastructure, system design, performance, reliability, and risk controls * Work pragmatically through complex engineering and trading-system challenges * Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance technical leadership with people leadership, delivery ownership, and operational discipline Required Experience * 7+ years of experience in systematic trading, options market-making or low-latency trading systems * Strong hands-on experience with Rust, C++, or C * Willingness to become deeply proficient in Rust, if not already * Strong understanding of algorithmic options trading, including automated quoting, execution, pricing, risk controls, and market data workflows * Experience building or maintaining low-latency trading systems, ideally within options or derivatives markets * Experience working with SQL databases in production environments, with PostgreSQL preferred * Familiarity with functional testing, component testing, and production-grade validation practices * Strong understanding of distributed systems, service boundaries, and production reliability * Strong knowledge of gRPC and experience working with Node.js-based services is preferred * Previous experience with crypto exchange connectivity and/or FPGA technologies is strongly preferred Leadership & Working Style * Strong team player with the ability to lead, mentor, and guide engineers * Pragmatic approach to problem-solving, system design, and implementation * Able to balance latency, reliability, safety, complexity, and delivery speed * Comfortable making technical decisions under uncertainty * Demonstrates outside-the-box thinking while staying grounded in practical delivery * Communicates clearly and effectively, especially in unfamiliar or ambiguous contexts where clarity is critical * Able to work closely with traders, quants, risk, product, and infrastructure stakeholders * Strong ownership mindset, especially for production trading systems Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. Our offer * A competitive salary package * Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely * The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Datadog

Manager I, Engineering - Onboarding Growth This Engineering Manager will lead the Onboarding team within the Shared Capabilities organization, setting product direction, and coaching and developing team members. They will staff and drive projects that drive new users to adopt Datadog in their organizations. From the first time a new user signs up for a Datadog trial, this team is responsible for making sure they have a world class setup and onboarding experience, and can realize the full value of Datadog in their organization. Onboarding owns the “front door” of Datadog, the very first experience new users and prospective customers encounter. This work is extremely important to company success - improving our onboarding process directly impacts new users ability to find value with Datadog quickly. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling first-time user experiences At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: * Work with Product Management and Design to plan and staff projects for the Onboarding Growth team * Coach and develop engineers at various levels * Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more * Build UX features to streamline the onboarding and trial experience through rapid experimentation * Build out data platforms and use that data to personalize the onboarding experience for each user * Work directly with product teams to ensure each product has a best in class new user experience * Create AI-assisted setup options to make sure initial setup “just works” out of the box * Champion the use of analytics data to analyze user behaviour and apply those insights to product UX Who You Are: * At least 2 years of people management experience in a software engineering or similar setting * Experience managing full stack development teams * Excellent communication skills, including at delivering clear, actionable, and empathetic feedback * Product-oriented: you put solving customer problems first and know how to ship features quickly and iterate on them * Passionate about experimentation and using data to drive decisions * Demonstrated sense of ownership over your team's work Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000—$240,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction.  If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. RESPONSIBILITIES * Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals  * Develop frameworks and scalable processes to drive decision-making and prioritization * Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time * Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements * Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience * Monitor and diagnose KPI performance and present findings to senior leadership EXPERIENCE * Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred * 5+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup * Ability to translate unstructured business problems into clearly defined requirements with minimal oversight * Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems * Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question * Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively * Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $118,000 - $147,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.