Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
ABOUT THE ROLE
We're looking for a Principal, Product Analytics who loves getting to the bottom of things. You'll do the deep investigative and technical work that explains why users and customers behave the way they do, and turn it into decisions that change the product and the business.
We're building a more proactive data function, and this role is its deep-investigation engine. You'll take ambiguous, high-stakes questions about user behaviour and customer experience and follow them wherever the data leads, across acquisition, activation, usage and the wider customer journey.
You'll work hands-on and independently, partnering with Product Managers, engineering managers and commercial teams, and working alongside a VP of Growth who will set the function's direction and build the team. Your findings will inform experiments, the roadmap and company strategy.
WHAT YOU'LL DO
- Go looking for what nobody asked about. This is the heart of the role. You'll notice when something looks off in a funnel, a cohort or a metric, disappear into it, and come back with a product issue, a cost leak or an opportunity nobody was looking for. You set much of your own agenda, and you don't wait for a request to start digging.
- Lead deep investigations into user behaviour and customer experience across product and non-product touchpoints, including support, customer success and sales.
- Find where activation breaks. Identify failure points in the user journey, including those that could become productised capabilities.
- Understand acquisition and intent. Dig into acquisition channels, user use cases and what people are actually trying to achieve.
- Do rigorous causal and statistical work. Go beyond correlation with regression, causal analysis and well-designed experiments, and be clear about what the evidence does and doesn't support.
- Build models that drive action. Apply data science to real business problems, such as churn modelling that can trigger real-time product action, and explain clearly how models are applied and what impact they have.
- Analyse unstructured and AI-specific data. Work with agent-user conversations, context layers and evaluation systems alongside structured product data.
- Size opportunities. Produce market opportunity sizing that helps the business prioritise.
- Measure how we build. Partner with engineering managers on organisational productivity metrics.
- Communicate for impact. Translate findings into clear recommendations for product teams, management and executives.
WHAT WE'RE LOOKING FOR
MUST-HAVES
- Deep product analytics experience across growth and broader product areas, with a record of investigations that changed decisions.
- Data science and modelling experience, and the ability to explain how you applied it and what business impact it had.
- Strong grounding in correlation, regression and causal analysis.
- A proactive approach. You surface insights and shape the agenda rather than working to a brief.
- Genuine curiosity. You notice what looks off and dig until you understand why.
- Clear communication with management and executives about business impact, simplifying complex analysis into actionable recommendations.
PREFERRED
- Experience with unstructured data.
- Experience at an AI-native company, or with the added data complexity AI products bring.
- Understanding of subscription businesses.
- Understanding of the PLG motions in a B2B space.
BONUS POINTS IF YOU'VE…
- Worked on multi-product platforms where upsells, cross-sells and bundling were a key revenue driver.
- Worked alongside qualitative research, connecting the what (data) with the why (qual).
- Done pricing and packaging work: willingness-to-pay, price testing, bundle performance.
-
HOW WE WORK
We optimise for responsibility and freedom.
- No ticket conveyor belt. We run on ownership and a small number of high-impact projects.
- Close collaboration with Product, Engineering, Growth and commercial teams to ship real outcomes.
- A bias toward pragmatic solutions that get used, measured and improved.
WHY JOIN
- Do the hardest, most interesting analytical work in the company, with direct line of sight to product and strategy decisions.
- Work across structured and unstructured data, customer conversations and AI evaluation, at the intersection of product usage, AI and revenue.
- Independence and impact at principal level, without the management overhead.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the role
The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution.
What you’ll do
Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action.
Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear.
Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed.
Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take.
Skills we’re looking for
8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership.
A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency.
Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions.
Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs.
Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results.
Ability to independently structure ambiguous problems and balance speed with analytical rigor.
Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution.
Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics.
Working knowledge of Salesforce and marketing automation platforms such as Marketo.
Clear executive communication, with the ability to connect detailed analysis to business decisions.
Bonus Skills
Experience navigating a merger, organizational integration, or significant GTM transformation.
Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis.
Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker.
Background in data infrastructure, developer tools, or analytics software.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$179,670
—
$224,587 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
Aidoc’s Enterprise Decision Intelligence (EDI) team is the company’s in-house strategy and analytics
function. We help leadership make better, faster decisions in two ways: deep-dive analyses of the
company’s biggest strategic questions (entering a new market, pricing, the ROI of a major initiative), and
the company-wide KPIs and “single source of truth” that everyone relies on. Our work is used by the C-
suite and the Board.
We’re looking for an Information Delivery & Visualization Engineer, a BI-minded builder, to be the face of
our data. Today, much of our reporting lives in manually built slide decks; you’ll lead the shift to something
live, polished, and trusted across the company.
This is a role with real ownership and visibility. You’ll set the standard for how data is presented at Aidoc,
work directly with senior stakeholders, and learn from a small, senior team of data engineering, data
science, and BI experts. The scope is intentionally broad, so you’ll grow across the data stack. As the
function evolves, there are several paths forward, and we’ll shape the direction with you.
Responsibilities
Dashboards & self-service analytics: Design, build, and maintain interactive dashboards (
Databricks) that make KPIs and deep-dive findings available to executives and teams across the
company. This is bespoke work, not template charts: custom visuals, tailored layouts, and purpose-
built interactive views (drill-downs, scenario toggles, and the like) designed around each audience’s
decisions.
From slide decks to live insights: Upgrade and replace recurring manual KPI decks for the C-
suite and Board with automated, always-up-to-date dashboards.
Enablement: Train and support stakeholders in Sales, Marketing, Finance, People, Clinical, and
R&D to answer their own questions, and track adoption to keep improving.
Own the foundations
KPI dictionary: Lead the creation and upkeep of the company’s KPI dictionary / data catalog :
clear definitions, owners, and calculation logic, adopted across teams.
Data quality: Own improving our data integrity as Aidoc scales, holding our numbers to an
enterprise-grade level of rigor, so people can trust the numbers.
New KPIs: From time to time, work with stakeholders to define new KPIs, together with our data
engineer and data scientist.
Requirements
Over 5 years of experience in BI development, data visualization, analytics engineering, or a similar
role.
Hands-on experience building dashboards in a modern BI tool (Databricks, Tableau, Power BI,
Looker, or similar), including custom-built work that goes beyond default templates and standard
chart types.
A strong eye for design: you turn complex data into clear visuals that executives can read in
seconds.
Business understanding: the drive to ask why a KPI matters, not just how to chart it.
Clear communicator with both technical and executive audiences; full professional English.
Great collaboration skills: you build trust and partner easily with many teams across Aidoc (Sales,
Marketing, Finance, People, Clinical, R&D, and more), and you gather requirements, align on
definitions, and handle competing priorities with patience and good judgment.
Ownership mindset: a self-starter who is comfortable with ambiguity and building from scratch,
under guidance.
Versatile and curious: you enjoy variety (building, documenting, cleaning data, working with
stakeholders) and take pride in the behind-the-scenes work that makes data trustworthy.
Nice to have:
Databricks experience.
Strong SQL, and a solid understanding of data modeling and data warehousing.
Working proficiency in Python for data manipulation.
Experience with ETL pipelines and a cloud data platform (AWS, Azure, or GCP).
Experience with SaaS or healthcare metrics (e.g., ARR, ACV, clinical KPIs).
Front-end or UX/UI design experience (e.g., custom visualization libraries such as D3, Plotly, or
similar).
Basic statistics for KPI and metric development.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Tbilisi, Georgia
Workplace: remote
Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We’re looking for a strong Head of Product Analytics who can combine strategic ownership with a very hands-on approach. This is not a pure management role - we expect someone who is individually strong enough to operate at a Senior Product Analyst level and enjoys working deeply with data.
We need someone who sees analytics as a product function, not just reporting. Someone proactive, curious, and opinionated. A person who can help shape product decisions, uncover growth opportunities, build reliable tracking systems, and turn data into actionable insights.
What You Will Do
Own and develop the product analytics function
Work closely with Product, Engineering, and Leadership teams
Proactively identify what should be analyzed, validated, or challenged — without waiting for requests from Product or Leadership
Run deep product analysis to identify opportunities for growth and optimization
Drive product decisions with data, not just respond to ad-hoc requests
Design event tracking from scratch and maintain scalable, reliable analytics instrumentation
Own data quality and metric consistency across the product
Improve and optimize the DWH layer, including data modeling and performance optimization
Build and maintain dashboards and analytical layers
Develop product metrics, frameworks, and measurement approaches
Help teams make faster and better product decisions through data
What We Are Looking For
Strong experience in product analytics at Senior or Lead level
Very hands-on mindset - comfortable digging into data yourself
Advanced SQL skills and experience writing complex, optimized queries
Strong Python skills for analytics and data processing
Solid experience with BI tools - we use Tableau
Experience building event tracking systems from the ground up
Strong understanding of DWH design and optimization
Strong understanding of A/B testing methodologies, including bootstrapping, sequential testing, multi-armed bandits, and causal inference
Real hands-on experience applying ML approaches to analytics and product problems
Product mindset and ability to translate data into meaningful business and product insights
Bonus Points
Experience with video streaming products
Experience working with recommendation systems
Experience optimizing product funnels and user journeys
Experience in fast-growing product companies
Hiring Process
HR screening (30 min)
Tech Interview (1 hour)
Product Team Interview (1 hour)
CEO Interview (45 min)
💼
Explore our hiring process
.
What We Offer
Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent).
The chance to be part of a pioneering team in a rapidly evolving industry
Direct impact on the future of media and technology
Flexible working hours to accommodate your lifestyle
Work remotely from almost anywhere
A culture that values innovation, accountability, and collaboration
Access to the tech you need from day one
Unlimited DeoVR Premium subscription
A dynamic and innovative work environment in a cutting-edge industry
🎥
Unlocking Immersive Experiences
:
Ivan Varko’s vision, CEO of Infomediji.
STAY CONNECTED
Join our
Facebook community
to connect with like-minded people. Join us and embrace a role where your expertise meets technological innovation.
* Proven Lead-level experience in B2C product analytics (video streaming, OTT, high-traffic web platforms). * AI Enthusiast & Modern BI Mindset: Strong belief that traditional BI tools (Tableau, Power BI, Amplitude) can be effectively replaced by LLM-assisted querying layers, custom AI agents, and semantic workflows.
В команду Kaspi Pay требуется специалист по персонализации, который умеет анализировать клиентские данные и превращать их в конкретные решения. Основные задачи включают изучение поведения партнёров, создание сегментов, запуск персонализированных предложений и сценариев, а также развитие активации, удержания и использования продуктов Kaspi Pay. Необходимо проверять гипотезы, оценивать результаты запусков, выбирать оптимальные продукты, каналы и моменты для предложений, а также взаимодействовать с командами продукта, аналитики и дизайна. Требования к кандидату: уверенное владение SQL и способность самостоятельно работать с данными, опыт в CRM, CVM, Growth или Product Analytics, знание сегментации, A/B-тестирования и работы с контрольными группами, опыт в retention, activation, cross-sell или lifecycle-коммуникациях, а также умение доводить проекты от идеи до запуска с измеримым результатом.
Location: Israel
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&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&D.
The role
Nebius is seeking an experienced Deputy SOC Manager for its Security Operations Center (SOC). This role is a technical-leaning leadership position that owns the SOC's capability: the strategy and standards the regions run to, the technology the SOC runs on, and how the SOC gets better over time. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office.
You are welcome to work in our offices in Tel Aviv, Israel.
Your responsibilities will include:
Help define the SOC's strategy and roadmap with the SOC Manager, and turn it into priorities the regions can execute.
Use operational metrics across regions to find where the SOC is weak and drive the improvements that fix it.
Work with the Regional SOC Managers on resource allocation and consistency across regions, so each region runs to the same standard.
Own SOC processes and runbook governance, keeping procedures current, consistent, and followed.
Apply AI and automation to cyber defense, making the SOC faster and its analysts more effective, with judgment about where it belongs.
Mentor the Regional SOC Managers and senior analysts as a peer and sounding board, developing the SOC's next layer of leadership.
Own how the SOC handles high-severity incidents: the escalation criteria, the coordination process, and the post-incident review, without running individual incidents.
Support hiring and onboarding, participating in interviews and shaping the analyst ramp-up.
Share the SOC Manager's accountability for the SOC's performance, stepping in across all of its responsibilities when needed.
We expect you to have:
8-10 years in security operations, including at least 2 years managing people.
Technical Expertise
Solid understanding of SOC tooling and workflows (EDR, SIEM, SOAR) at the depth needed to lead analysts and challenge investigations.
Working knowledge of investigation methodology and the incident lifecycle.
Understanding of attacker TTPs (MITRE ATT&CK) sufficient to assess investigation quality.
Familiarity with cloud and cloud-native environments as they relate to SOC coverage.
Certifications such as GCIH, GSOM, or CISM are an advantage.
Leadership & Communication
Builds trust across teams, leading the SOC from transparency and consistency rather than authority.
Calm during high-severity incidents, with the judgment to keep the team on the right priorities.
Genuine investment in people, developing managers and analysts while holding a fair, high bar.
Fluent in English, written and verbal, comfortable working with international teams and stakeholders
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
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.
Location: Hyderabad, India
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Information Security team enables innovation at speed—securely. As digital guardians of DoorDash, Deliveroo, and Wolt, we safeguard our systems and the data of our employees, customers, riders, and partners. We defend against emerging cyber threats and embed security into every facet of the business. From building resilient defenses and responding to incidents to empowering teams with security knowledge, we are trusted partners protecting these global brands from the inside out.
About the Role
The Senior Security Operations Centre Specialist offers a unique opportunity to shape our global Security Operations strategy across a global footprint of DoorDash, Deliveroo, and Wolt. This role provides the platform to optimize our technology and AI investments while pioneering new methods to protect our data, people, and partners. As we expand, your specialist capabilities will be essential to our continued success.
What you’ll be doing
Work in a 24/7 global security operations centre, including scheduled night and weekend shifts.
Lead the triage and investigation of security alerts, including phishing, malware, network attacks, security hygiene and privacy related incidents within specified SLAs.
Mentor a team of SOC Specialists, providing the necessary guidance and feedback to deliver a best-in-class security service to the business.
Lead the development and continuously improve operational documentation, processes and playbooks
Build and manage autonomous AI runbooks to automate and scale our alert triage capabilities.
Lead incident response and escalation, ensuring lessons learned are translated into continuous security improvements.
Support the design, development and review of threat-detection use-cases to identify suspicious activity across our cloud environment.
Feed into the risk framework of emerging and observed threats from intelligence and / or incidents (e.g., post incident activity / repair items).
Support wider security incident investigations involving Threat Intelligence and Incident Response & Digital Forensics stakeholders.
Keep up to date with current security trends, advisories, publications and security research across the threat landscape
Leverage metrics and KPIs to improve security posture and identify opportunities for strategic optimisation
Collaborate with the team to develop and help deliver cybersecurity awareness programs for employees, emphasising incident reporting and best practices.
Requirements
6–8 years of experience in SOC, demonstrating success in managing security incidents and delivering platform optimisations while acting as a technical mentor and lead for shift operations.
Proven experience building threat detection capabilities in a cloud-centric, fast-moving organisation.
Hands-on experience with AWS security config, SOAR, GSO, EDR/XDR, Splunk and SQL queries.
Practical experience ideating, configuring, managing defensive security solutions and technical project management
Committed to continuous improvement, leveraging feedback to elevate both personal and team performance.
Exceptional collaborative team player and a knowledge-sharing mindset.
Working knowledge of security compliance standards, e.g. ISO27001, GDPR, NIS2 and PCI-DSS.
Capable of working well both independently and collaboratively, whilst keeping calm, under the pressure of an incident with potentially high impact to the business.
Able to communicate effectively during or after any incident update to both technical and non-technical stakeholders.
Coordinate with the US, UK and EU central security teams as required.
Preferred, but not required
Understanding of IAM cloud security principles
Experience in a DevOps environment with familiarity of CI/CD pipelines
Hands-on experience with container technologies and orchestration services
Knowledge of cloud security data encryption standards and principles
Why Deliveroo?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership
environment.
🧠Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎A culture built for builders
High standards, collaboration, flexible working and continuous learning.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Москва
Наша команда развивает интеллектуальные системы для ведущего банка —рекомендательные сервисы и AI-агенты. Наша цель — создавать решения, которые помогают клиенту решить его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. При этом минимизируя ненужный инфо-поток от экосистемы на клиента.
Мы ищем специалиста, который объединит экспертизу в анализе данных, бизнес-аналитике и продуктовом анализе. Тебе предстоит погрузиться в клиентские пути, формировать и проверять гипотезы, быть драйвером инноваций, влияя на развитие ключевых продуктов банка.
Обязанности
### Чем предстоит заниматься:
* работать с бизнес-заказчиками: выявлять и уточнять бизнес-требования, переводить их в фичи дорожной карты развития продукта
* вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели
* анализировать данные по клиентам и запускаемым кампаниям
* проводить ресерч новых источников данных для улучшения качества рекомендательной системы
* участвовать в разработке и развитии стратегии развития продуктов, определять приоритетные направлений для исследований
* анализировать рынок и продукты с точки зрения клиентского опыта, формировать и проверять - продуктовые гипотезы, разрабатывать концепции и прототипы
* проектировать MVP на основе гипотез
* согласовывать бизнес-процессы: UML диаграммы, бизнес-схемы
* взаимодействовать со смежными командами в качестве заказчика
* разрабатывать методологии расчетов ключевых показателей по направлению и механизмов их внедрения.
Требования
### Что для нас важно:
* высшее образование: техническое или экономическое
* опыт работы в качестве CJE, продуктового аналитика, системного аналитика от 2 лет
* опыт работы с системами управления взаимодействием с клиентом и рассылками (CRM, CDP)
* опыт организации исследовательских сессий, сбора и обработки обратной связи
* опыт в продуктовых исследованиях (customer development, дизайн-мышление, ux-исследования и пр.)
* знание основ статистики (методология оценки A/B-тестов, проверка гипотез)
* знание BPMN и опыт построения процессов и постановки требований
* умение ставить эксперименты и интерпретировать результаты
* навыки продуктовой аналитики: определение метрик, A/B-тестирование, проверка гипотез, анализ воронок
* навыки применения ИИ в профессиональной деятельности (например, Гигачат, Кандинский).
### Дополнительным преимуществом будет:
* опыт работы с LLM: проектирование, внедрение или оптимизация чат-ботов/AI-агентов (LangChain, RAG, fine-tuning)
* опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных
* опыт работы с HighLoad-стеком (Java, Scala, Flink), понимание принципов проектирования высоконагруженных распределенных систем
* опыт работы аналитиком от 2-х лет, опыт в экосистемных компаниях будет преимуществом (Ozon/Яндекс/Тинькофф/MTC/WB)
* владение Miro, Figma.
Условия
### Что мы предлагаем:
* срочный трудовой договор (декретная ставка)
* комфортный современный офис рядом с м. Кутузовская
* гибридный формат работы
* корпоративный спортзал и зоны отдыха
* уникальную систему обучения Сбера для профессионального и карьерного развития
* программу адаптации и помощь руководителя на старте
* расширенный ДМС и льготное страхование для семьи
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписку Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративную пенсионную программу.
Location: Mississauga, Ontario
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary:
As a Senior Manager of Monetization Strategy & Pricing, you will play a pivotal role in developing, optimizing, and executing pricing and packaging strategies for PointClickCare’s products and services. You will lead key initiatives, support strategic deals, and act as a bridge between tactical execution and strategic leadership. Reporting to the Director, Monetization Strategy & Pricing, you will collaborate across departments to ensure pricing decisions drive both short- and long-term business impact.
Key Responsibilities:
Support pricing & packaging initiatives:
Contribute to the development of and execute on pricing and packaging strategies that align with product positioning, customer needs, and business goals.
Own select pricing projects and support the Director in broader strategic initiatives.
Assist in monetization of new products:
Partner with cross-functionally to support the monetization and go-to-market strategy for new product offerings and feature launches.
Conduct market & customer research:
Perform customer analysis and usage segmentation, and leverage market research to inform pricing recommendations and identify market opportunities.
Build financial models & run analyses:
Leverage AI tools to develop pricing models, assess pricing performance, and run scenario and margin analyses to evaluate trade-offs and recommend pricing and packaging improvements.
Leverage AI to perform quantitative and qualitative research, and optimize discounting frameworks and packaging options.
Translate insights into actionable recommendations for pricing and monetization.
Monitor key metrics:
Leverage AI to create and track key pricing and monetization KPIs (e.g., ASP, ARPU, discount rates, price realization, attach rates, margin impact) and prepare reports and dashboards to support business reviews.
Collaborate cross-functionally:
Work with Product, Marketing, Sales, RevOps, and Finance to ensure pricing strategies are understood, adopted, and operationalized successfully across the organization.
Enable sales & customer teams:
Partner with Sales Enablement and Customer Success to create tools, documentation, and training that help teams effectively position and sell based on value.
Provide hands-on support for complex or high-impact deals, ensuring pricing configurations maximize customer success and business objectives.
Required Skills & Qualifications:
Bachelor’s degree in Business, Finance, Economics, Marketing, or a related field.
3+ years of experience in pricing strategy, business analysis, product operations, or management consulting, preferably within a SaaS or enterprise software company
Familiarity with B2B SaaS and AI pricing models, value-based pricing, and monetization principles.
Understanding of enterprise sales cycles, customer value drivers, and product commercialization.
Strong quantitative and problem-solving skills with the ability to manipulate and interpret large data sets.
Experience with financial modeling, pricing analysis, and market research.
Ability to connect insights to actionable recommendations and business outcomes.
Communication & Collaboration
Effective communicator, able to present findings clearly and tailor messaging to different stakeholders.
Comfortable working cross-functionally and building relationships across teams.
Able to influence decisions through data, logic, and a customer-focused perspective.
Organizational & Execution Skills
Highly organized, detail-oriented, and capable of managing multiple projects in a fast-paced environment.
Demonstrated ability to follow through on tasks, manage competing priorities, and adapt to evolving needs.
Preferred Experience:
MBA or advanced degree is a plus
Healthcare or Post-Acute Tech Experience
#LI-TW1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $104,000 - $130,000 + bonus or commission + equity + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Условия и бонусы:
Занятость — проектная, 20–40 часов в месяц;
оплата почасовая.
Удаленно.
Что мы ждем:
– уверенный SQL и опыт моделирования витрин;
– ежедневную работу с Claude Code и понимание, где ему нельзя верить;
– умение найти, почему цифра в отчёте расходится с бухгалтерией, а не подогнать её;
– будет плюсом: Vega-Lite, кредитный риск, МСФО 9, банковская отчётность.
Условия и бонусы:
Фултайм, удаленно.
Наши ожидания:
– Знания Insight BI.
– Навыки разработки: ETL, data modeling.
– Навыки моделирования и написания SQL-процедур.
– Навыки по оптимизации производительности скрипта и диаграмм интерфейса.
– Навыки Dashboard design, overall UI/UX design в BI.
Location: Москва, RU; Россия
О команде
Команда Talent Management Analytics развивает HR-процессы с помощью данных и аналитики. Мы работаем с продуктами целеполагания, Performance Review, Talent Review, обучения и другими HR-сервисами.
Наша задача — помогать бизнесу принимать взвешенные решения: находить закономерности в данных, оценивать эффективность процессов и создавать удобные аналитические инструменты.
Примеры будущих задач:
— собирать, проверять и анализировать данные по запросам бизнеса и продуктовых команд;
— готовить регулярные отчёты, выгрузки и дашборды в BI-инструментах;
— рассчитывать и поддерживать HR- и продуктовые метрики, документировать их логику;
— исследовать изменения показателей, искать причины отклонений и формулировать рекомендации;
— проверять качество данных: полноту, дубликаты, аномалии и соответствие источникам;
— участвовать в развитии витрин данных, аналитических процессов и автоматизации регулярной отчётности;
— помогать коллегам формулировать аналитические задачи и объяснять результаты простым языком;
— принимать участие в подготовке и анализе экспериментов и опросов сотрудников.
Мы ждём, что вы:
— уверенно владеете SQL: умеете работать с JOIN, агрегациями, CTE, оконными функциями и датами;
— хорошо владеете Excel или Google Sheets: используете формулы, сводные таблицы и умеете находить ошибки в данных;
— имеете базовые навыки Python для анализа данных: pandas, NumPy, визуализация данных;
— понимаете основные аналитические метрики: конверсия, доли, динамика, среднее, медиана, удержание;
— знакомы с основами статистики, проверкой гипотез и A/B-тестами;
— умеете работать с BI-инструментами: Redash, Tableau, Power BI, DataLens или аналогами;
— внимательны к деталям, готовы разбираться в бизнес-контексте и задавать уточняющие вопросы;
— умеете ясно рассказывать о результатах анализа.
Будет здорово, если вы:
— работали с ClickHouse, PostgreSQL, Trino или другими аналитическими базами данных;
— имеете опыт в HR- или продуктовой аналитике;
— знакомы с dbt, Git, Airflow или принципами работы DWH;
— строили дашборды и документировали метрики;
— имеете учебные, личные или коммерческие проекты в аналитике.
Работа у нас — это:
— возможность влиять на развитие HR-процессов и HR-продуктов;
— задачи на стыке аналитики, исследований и автоматизации;
— поддержка команды и возможность развиваться в профессии;
— аналитическая культура, инструменты для работы с данными и доступ к обучению;
— возможность работать удалённо или из офиса;
— расширенная забота о здоровье: ДМС, страхование жизни, онкострахование;
— сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких;
— корпоративный спорт: групповые тренировки, велбиинг-приложение;
— спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование;
— компенсация питания.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses.
You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence.
This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations.
WHAT YOU'LL DO
- Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions.
- Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises.
- Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight.
- Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots.
- Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support.
- Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact.
WHAT YOU HAVE
- Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model.
- Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny.
- Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments.
- An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire.
- The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work.
Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny.
At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business.
COMPENSATION
$280,000 - $385,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses.
You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence.
This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations.
WHAT YOU'LL DO
- Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions.
- Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises.
- Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight.
- Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots.
- Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support.
- Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact.
WHAT YOU HAVE
- Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model.
- Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny.
- Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments.
- An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire.
- The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work.
Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny.
At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business.
COMPENSATION
$280,000 - $385,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$165,000 to $190,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see.
Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions.
Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly.
Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples.
Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it.
Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online.
Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs.
Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high.
What You Bring To The Team:
6+ years of professional software development experience, including building and operating production backend systems
Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus
An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior
Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it
Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Experience with AWS, Azure, or other public cloud environments
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK)
Experience building evaluation pipelines or datasets for ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
#BI-REMOTE
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Что делает управляющий:
— приносит контент-план
— анализирует нишу и конкурентов
— принимает решения по показам, CTR и удержанию
Кого ищем:
— думаете цифрами
— отличаете причину от следствия
— доводите дело до результата
— нужен свой компьютер
— опыт — плюс, но решает задание
Что даём:
— 20% выручки каждого канала, который ведёте; число каналов не ограничено
— ролики по вашему контент-плану производим на своём софте, техчасть — на нас
— обучение и еженедельный разбор с партнёрами
— рост: первый канал пошёл — даём следующие, дальше можно вести новых управляющих
УдалённоГеография найма не уточнена
Oakland, California, United States, AMER
Tel Aviv-Yafo, Tel Aviv District, Israel
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seniorHyderabad, India; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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