Location: Clarksville, TN
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
Shift: Nights
Responsibilities:
Responsible for training EPS Operators on equipment and processes
Assists EPS Operators in diagnosing mechanical problems and determining how to correct
Identify training and development needs through regular conversation and observation
Assists Manager with reviewing EPS Operator performance
Assists in the development and update of EPS training manuals
Responsible for visual inspection of production for defects based on Standard
Monitor product for any quality issues
Achieve established daily performance target
Operate machinery, and make necessary changes to ensure product specifications are met
Perform basic troubleshooting and routine maintenance on machinery and auxiliary equipment
Get the proper material to the required machinery in a safe and efficient manner
Qualifications:
High School Diploma
Over 5 years EPS Operation experience preferred
Experience in mentoring and/or coaching Press Operators
Strong understanding of production of complex equipment and system integration
Strong knowledge of manufacturing methods and process improvements
Ability to use strong skills in analyzing, troubleshooting and evaluating problems
Exceptional written and oral communication skills
Strong knowledge of manufacturing including machine capabilities and efficiencies, etc.
Some occasional international travel required
Bilingual Korean-English preferred
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Austin
Workplace: Hybrid
About the Role
We're hiring an SDR (Sales Development Representative) to join our team at Cyberhaven, based in Austin, TX or Mountain View, CA. In this role, you'll play a key part in driving top-of-funnel pipeline for a cutting-edge, highly technical product that's redefining data loss prevention and insider risk. You’ll work closely with our Sales and Marketing teams to identify, engage, and qualify prospects at some of the world’s most innovative companies.
What you'll do
- Identify and research target accounts and key stakeholders within innovative organizations
- Engage prospective customers through thoughtful, strategic outreach via email, phone, and social channels
- Qualify inbound and outbound leads for the sales pipeline by understanding prospect needs and uncovering pain points
- Collaborate with Sales and Marketing teams to refine messaging and develop effective campaigns
- Maintain accurate records and engagement activities in CRM and sales engagement tools
- Consistently build and nurture a strong early-stage pipeline
Who you are
- Have 6+ months of SDR experience at a SaaS company with a highly technical product, cybersecurity experience is a plus
- Comfortable learning and speaking to technical concepts, and translating them into clear business value for prospects
- Skilled communicator - both written and verbal with the ability to engage technical and non-technical stakeholders alike
- Proven experience in B2B sales or business development, with a focus on qualifying complex buying cycles and building early pipeline
- Proficient with CRM and sales engagement tools like Salesforce, Outreach, Salesloft, or Sales Navigator (or comparable platforms)
- You approach outreach with thoughtfulness and strategy, using personalization to break through the noise and connect with the right buyers
- Strong problem-solving skills and the ability to identify customer pain points through research and discovery
- A collaborative team player who works well with marketing, sales, and technical teams to deliver a seamless buyer experience
- Location in Austin, TX or Mountain View, CA - Hybrid 3 days in office
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor).
We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business.
We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with.
You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk.
RESPONSIBILITIES
- Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns
- Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting
- Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream
- Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM
- Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents
- Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests
- Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through
- Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers
Example problems you might work on, possible paths rather than a fixed roadmap:
- Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect
- Managing Snowflake RBAC, resource management, and masking policies as code with Terraform
- Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift
- Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop
- Automating near-certain matches in the Identity Graph
- Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies
- Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse
- Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents
- Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform
QUALIFICATIONS
- 5+ years (or equivalent) building and operating production data platforms, including the transformation layer
- Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns
- Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking
- Experience with warehouse access governance: RBAC, masking policies, and PII handling
- Strong data modeling judgment and an understanding of schema evolution
- Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD)
- Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs
- Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates
- A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on
- Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions
- You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
AI is changing both sides of the security equation, and Anthropic is focused on putting frontier AI capabilities in the hands of defenders. Cybersecurity is a fast-growing area for Anthropic, spanning enterprise security teams that adopt Claude for their own security work and security companies that build their products on our models. The buyers are demanding and data-driven, from CISOs to hands-on practitioners in security engineering, application security, security operations, threat intelligence, and incident response.
As Field Marketing Lead, Cybersecurity, you will lead Anthropic's field marketing for the cybersecurity audience around the world, helping position Claude as the trusted AI partner for security teams. You will align closely with the sales organization, develop the marketing strategies and tools the field needs, and partner with Anthropic's cybersecurity experts in product marketing, solutions marketing, and across the business to turn their positioning and messaging into programs and campaigns. You will be the cybersecurity lead that our campaigns and regional field marketing teams draw on, working with customers in every segment and with a focus on expanding within existing accounts. You will make sure that how we show up to CISOs, practitioners, and the buying committee is credible, consistent, and tied to revenue, whether in a global campaign, an executive roundtable, or a flagship industry event.
Location: this is a global role, with a preference for candidates based in San Francisco or New York.
Key responsibilities
Own the global cybersecurity field marketing plan: define how we reach CISOs, practitioners, and the buying committee in every customer segment, the annual program calendar, and the goals and success metrics agreed with sales leadership before budget is committed
Align with the sales organization worldwide: agree on target accounts and buying committees, build programs that expand Anthropic's footprint in existing accounts and open new opportunities, and make sure account teams have what they need to invite, follow up, and convert
Partner with product marketing, solutions marketing, and Anthropic's cybersecurity experts: build on their positioning, messaging, and enablement, and work with them to turn cyber use cases into the programs and campaigns that build awareness and demand
Develop the marketing strategies and tools the field needs: playbooks, program kits, speaker guidance, and event recommendations that let regional field marketers in the Americas, EMEA, and APAC run cybersecurity programs locally without starting from scratch
Design and run flagship cybersecurity moments in the field: executive roundtables, CISO dinners, practitioner workshops, and Anthropic's field presence around major industry events such as RSAC, Black Hat, Gartner Security & Risk Management Summit, and Infosecurity Europe, in step with the launch, content, and thought leadership plans led by product and solutions marketing
Serve as the cybersecurity field lead for integrated campaigns: bring audience insight, field feedback, and program ideas, and extend global campaigns into regional programs so they land with CISOs, practitioners, and the rest of the buying committee
Bring the voice of the security buyer back into Anthropic: share what you hear from customers, analysts, and the field with Product, Sales, and Marketing leadership
Measure what matters: sourced and influenced pipeline, expansion within existing accounts, program-level attribution, and a clear read on which programs earn more investment, built with Marketing Ops
Protect the brand with a skeptical audience: hold a high bar for technical accuracy, keep the story focused on defenders and responsible deployment, avoid fear-based messaging, and know when to say no to a program that would not earn trust
Operate as connective tissue across Anthropic: Sales, Campaigns, regional Field Marketing, Product Marketing, Solutions Marketing, Partner Marketing, Partnerships, Events, and Comms all touch this audience. You keep them coordinated and the customer experience coherent
Minimum qualifications
Working fluency in the cybersecurity landscape, across areas such as security operations, detection and response, threat intelligence, application security, vulnerability management, cloud security, and governance, risk and compliance, with enough technical depth to hold a credible conversation with both CISOs and hands-on practitioners
A track record of partnering with sales teams on pipeline and on expansion within existing accounts, including account-based programs and executive engagement, with results to show for them
Experience across both integrated campaigns and field marketing, and the judgment to know which one a given goal calls for
Experience operating globally: you have led programs across multiple regions and enabled local teams to run them well
Strong influence without authority: able to set direction for campaigns and regional field marketers who do not report to you
Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it
Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts
Experience working alongside product marketing and technical experts, and turning their positioning and messaging into field programs and campaigns
Range across customer segments: you can adapt a program for a large enterprise, a mid-size company, and a fast-growing startup
Preferred qualifications
8+ years of B2B marketing experience, with significant time in field marketing or demand generation for cybersecurity buyers at a security vendor or an enterprise technology company
Hands-on background in security, such as time as a practitioner, sales engineer, or product marketer for a security product
Familiarity with the AI ecosystem and how enterprises adopt AI products, including how AI is changing security work for defenders
Experience marketing trust-sensitive or dual-use products, where responsible deployment is central to the story
Existing relationships in the security community: CISO networks, analysts, industry groups, and event organizers
Experience marketing to regulated industries or public sector buyers, where security review shapes the deal
Experience working with security technology partners, managed security service providers (MSSPs), or global systems integrators
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$400,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We are looking for an Affiliate Growth Lead, US to build and scale our relationships with finance and investing creators and affiliates across the US market. The role combines business development, creator and affiliate partnerships and performance marketing, with a clear commercial mandate: drive attributable funded accounts and trading volume from active traders and investors, starting with Margin.
This is not a crypto-native KOL role. The audience we want to reach already trades and invests, and we reach them through the creators and publishers they trust in traditional finance, trading education and wealth management.
THE OPPORTUNITY
- Own business development for US finance and investing creators and affiliates, building a high-quality pipeline of trading educators, finance YouTubers and podcasters, newsletter authors, and wealth-management and advisor-creators.
- Develop and execute the US creator and affiliate strategy, starting with a focus on driving Margin trading volume and funded accounts, with the scope to expand across Kraken's other trading products.
- Own partner acquisition and relationship development, from initial outreach and commercial conversations through activation and ongoing growth.
- Structure CPA, revenue-share and hybrid partnerships that tie partner incentives to funded accounts and trading activity.
- Set up and manage the tracking, attribution, payout and reporting needed to measure partners through funded and traded accounts.
- Work with Legal and Compliance on disclosure, content review and approved messaging, so that promotion of leveraged products is responsible and consistent.
- Partner across Growth, Marketing, Product and other relevant teams to turn creator and affiliate opportunities into effective campaigns, and bring partner and audience feedback back into the product.
- Coordinate with the NORAM Pro KOL Business Development team so each creator has a single point of contact and relationships are not duplicated.
- Track attributable trading volume, funded accounts, active-trader retention and CAC per partner, and use the results to prioritize partners and investment.
- Continuously identify emerging creators, communities and affiliate publishers that reach active traders and investors in the US.
WHAT YOU BRING
- Deep experience in business development, partnerships, influencer management or affiliate-led growth in the US, with a track record of running performance-based creator or affiliate programs for a brokerage, trading platform or investing product.
- Experience growing margin, options, futures or other leveraged or active-trading products.
- A strong existing network and understanding of the US finance and investing creator ecosystem, including trading educators, finance YouTubers, newsletter authors, podcasters and wealth-management or advisor-creators.
- Working knowledge of crypto and digital assets, with the ability to explain crypto trading products clearly to audiences who are new to them.
- Demonstrated ability to originate, negotiate and grow commercially meaningful partnerships, including CPA, revenue-share and hybrid deal structures.
- Hands-on experience with affiliate networks and tracking platforms.
- A record of turning creator or affiliate activity into measurable outcomes such as funded accounts, trading volume, revenue or acquisition, with results you can describe in numbers.
- Familiarity with US financial advertising rules, including FTC paid-endorsement disclosure, and experience getting creator content through compliance review.
- Strong relationship-building skills, with the credibility to work with creators who protect their audience's trust and are selective about the brands they promote.
- Commercial judgment: you prioritize partners based on expected impact on conversion and trading activity, not on reach or activity alone.
- Comfort using performance data to evaluate partners, diagnose results, adjust strategy and end partnerships that do not perform.
- Strong cross-functional execution skills and the ability to move opportunities from prospecting through launch and ongoing growth.
NICE TO HAVES
- Experience working in wealth management or fintech.
- Experience at a crypto exchange or digital-asset firm.
- Existing relationships with US crypto-native creators.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United Kingdom (Remote); Ireland (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology.
You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements.
You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc).
What You'll Do
- Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives.
- Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security.
- Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders.
- Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls.
- Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines.
- Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads.
- Provide structured feedback to Product and Engineering on feature gaps and market needs.
- Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security.
- Support channel and technology partners with technical enablement.
- Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc.
- Listen deeply and perceive feedback as an opportunity to improve.
- Demonstrate a high level of empathy, resilience, and humility.
What You'll Bring
- 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role.
- Experience with using/configuring/debugging Linux machines and network issues.
- Strong understanding and experience with Kubernetes, including hands-on troubleshooting.
- Strong knowledge of at least one cloud computing platform
- Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles).
- Advanced understanding of identity security and modern Zero Trust security approaches.
- Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools
- Strong understanding of system architecture, provisioning, and administration
- Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements.
- Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues
- Ability to engage both technical and executive stakeholders with credibility and clarity.
- Strong presentation, demo, and white-boarding skills.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: San Francisco, CA
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
The opportunity:
We're a lean, experienced engineering team, and we're hiring our first Forward Deployed Engineer. You'll define what this role looks like at Column.
As an FDE, you'll work with customers to understand their problems in depth and help them build new products on Column's APIs. What you learn in the field will feed directly into how our engineering team improves the platform.
This is a hands-on engineering role. You'll write code, debug payment flows and design integrations, and you'll spend a lot of time on-site with customers. You'll get deep exposure to the full banking stack, from our APIs down to the Federal Reserve.
This role is based in our Presidio office in San Francisco, with frequent travel to customer sites in the US and abroad. You will report directly to William, the CEO.
Read more about Life @ Column and our hiring process here https://www.notion.so/Hiring-at-Column-b8d9b2628317491989d4713091b6bb68?pvs=21. 🚀
What you'll do:
- Work directly with our partner’s engineering teams to design, build and launch products with Column's state-of-the-art banking stack
- Act as the technical owner for strategic customers from onboarding to launch, unblocking them on architecture, ledgering, reconciliation and edge cases in money movement
- Write production-quality code, that speeds up integrations and grows into reusable product
- Turn patterns from the field into product and platform improvements, working closely with engineering to shape our APIs, docs and developer experience
- Advise customers on how to build safe, compliant and resilient financial products in a regulated environment
- Represent Column in conversations with customer executives and engineering leaders, and build trusted, long-term relationships
What we're looking for:
- Strong engineering fundamentals, ideally with experience in backend systems, APIs or infrastructure
- Product thinking: you look past the immediate ask to the underlying problem and the best solution, for the customer and for Column
- Excellent interpersonal and communication skills. You can explain complex systems clearly to an engineer or an executive
- Executive presence and the confidence to lead high-stakes customer conversations
- Strong project management skills. You can run several customer engagements at once and keep each one moving
- A self-starter mindset. You're comfortable with ambiguity and with building process where none exists yet
- Experience with payments, banking or financial infrastructure is a plus
- Ideally fluent in either Spanish, French or Russian.
WHAT YOU’LL GET FROM US:
- 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents!
- 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses
- 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office
- 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses
- 📈 401k plan, including self-directed brokerage options
- 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge
- 🧳 Sabbatical Program - Reach your 5-year anniversary to take up to 8 weeks of fully paid leave to rest, recharge, and pursue personal interest - with full salary and benefits
- 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers
- 😇 Up to $4,500 in annual reimbursements for backup childcare
- 🍽️ Catered lunches and dinners for SF employees
- 🚆 Commuter benefits, including paid transportation to-and-from the office
- 🎉 Regular team building events, including annual offsite
PAY TRANSPARENCY:
Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
The annual US base salary range for this role is $130,000-$250,000 + equity.
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure. This is Anthropic's largest cost and one of the most complex areas of our financial reporting. You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO.
This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance.
As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond.
Key responsibilities
Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management
Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow
Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes
Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness
Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection
Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices
Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections
Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models
Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement
Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system
Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements
Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance
Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close
Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models
Embed control requirements into new systems, pipelines, and process changes at design time
Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions
Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions
Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly
Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure
Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives
Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means
Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures
Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters
Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure
Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes
Track and report on control status, testing results, and remediation to leadership
Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment
Minimum qualifications
Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence
Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies
Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements
Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls
Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams
Can structure ambiguous control problems and influence across stakeholders without direct authority
Have strong project management, analytical, and communication skills
Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering
Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI
Preferred qualifications
Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company
CPA (or similar certification) and/ or CISA
Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure)
SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you
Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies
Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes
Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements
Experience working at a high-growth AI or technology company
Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation.
You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic approaches its transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This will include balancing proactive storytelling about product security updates and launches with thoughtful handling of reactive matters as they arise. We're charting new terrain communicating about fast-moving frontier model capabilities and threat surfaces, and about institutional structures few other companies have built. You'll bring strong communications fundamentals to the role but recognize that traditional approaches may not map cleanly to the novel issues we're tackling.
The ideal candidate is an experienced issues handler with strong executive management skills, attention to detail, and the judgment to navigate sensitive topics with care. You should be able to move quickly under pressure and tight deadlines, write crisply, and distill complex security, governance, and technical topics for a broad audience while maintaining accuracy. This is a unique opportunity to help define how one of the world's leading AI safety companies communicates about the security and governance challenges that will shape the future of the technology.
Key responsibilities
Develop and execute communications strategies for Anthropic's approach to AI security, governance, and responsible scaling
Drive external communications about Anthropic's corporate governance, including the Long-Term Benefit Trust and our public benefit corporation status, explaining how these structures provide independent oversight and accountability to our mission
Serve as a trusted communications partner to security, product, legal, governance, and RSP leaders on sensitive, fast-moving matters
Develop proactive communications around emerging regulatory frameworks and transparency obligations, including public reporting commitments, disclosure requirements, and Anthropic's engagement with oversight bodies
Manage reactive inbound media requests on complex security and governance topics
Build and maintain relationships with journalists and influencers covering security, corporate governance, and technology policy
Prepare executives for media interviews, speaking engagements, and public appearances, developing thought leadership opportunities that position Anthropic's leaders as credible voices on AI security, governance, and responsible development
Write blog posts, statements, talking points, and other communications materials that explain our security, governance, and responsible scaling work clearly and accessibly, maintaining accuracy
Support reactive communications efforts with speed, accuracy, and sound judgment
Minimum qualifications
Experience in policy communications, including managing communications around complex security or governance topics
Excellent written and verbal communication skills, with the ability to distill complex technical topics accurately for broad audiences
Experience in issues management and developing reactive communications under pressure and tight timelines
Strong executive management skills and a proven ability to work seamlessly across technical and non-technical teams
A track record of building media relationships
A results-oriented, high-agency working style, with a bias toward flexibility and impact
Comfort operating in new terrain, where the technology is evolving quickly and the right communications approach may not yet exist
A deep commitment to ensuring that transformative AI systems are developed safely
Preferred qualifications
8+ years of experience in policy communications, ideally at a high-growth technology company
Experience communicating about corporate governance, regulatory affairs, or oversight structures, and comfort explaining novel institutional arrangements to broad audiences
Existing relationships with security, governance, and tech policy reporters and influencers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Annapolis, MD
To provide personal and asset protection for patients, visitors, and employees throughout the Medical Center facility, and to prevent any potentially hazardous conditions through continuous monitoring of all areas.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Maintains personal and asset security by conducting complete and through hazard surveillance rounds with strong emphasis on protecting patients, staff, and hospital property. Monitor radio communication, telephone, and written notes for daily information; uses various methods of communication to include electronic and manual.
When stationed in the Control Center responsible for the continuous monitoring of the CCTV for unwarranted actions and maintain the written/computer logs and email correspondence as per established policy.
Responds timely to all emergency calls throughout the facility following established guidelines. Respond quickly, calmly, and effectively in emergency situations, including assisting with patient restraints as needed. Manage emergency situations and ensure execution of disaster plans; notify appropriate leadership of emergency situations.
Conducts preliminary investigation into thefts, shortages and other complaints involving potential criminal misconduct by questioning individuals involved with specific incidents. Keeps supervisor informed at all times.
Prepares and submits written reports, investigations, and daily events in a complete, timely and accurate manner. Logs all responses and incidents.
Conducts various levels of personal safety screening for weapons, contraband and any other unauthorized items permitted in the facility using different forms of manual and electronic screening devices to ensure a safe environment of care to heal, work and learn.
Participates in crisis intervention with staff, patients, visitors, and others, to restore and maintain order as quickly and safely as possible by applying the knowledge of growth and development across the life span to the care of patients.
Provides staff education on safety topics and trains new Officers in all department policies and procedures.
Performs regular patrols of assigned areas on main campus and its satellite office buildings and regularly inspects designated facilities, fire extinguishers, helipads, alarm systems, close circuit cameras, and other security equipment as required; address and/or report any concerns and or issues.
Maintains accountability for valuables/property and other forms of evidence, ensures safekeeping, and maintains documentation.
Assists with keys, verify and issue contractor badges, provide on campus traffic control, parking enforcement, monitors building systems.
Readies and secures helicopter landing area. Escorts medical personnel to patient location. Provides support for patient transport.
Provides safety escorts and assistance for staff, visitors and patients as requested.
Contributes to the achievement of established department goals and objectives and adheres to department policies, procedures, quality standards, and safety standards.
Perform fire drills as required.
May have to work other shifts, as necessary.
Adheres to and exhibits our Luminis Health RISE values committing to a culture of Respect, Inclusion, Service, and Excellence.
Attend staff meetings and complete mandatory in-services, requirements, and competency evaluations on time.
Understands regulatory requirements regarding compliance and all other laws and regulations that apply to the organizational operations (e.g., Code of Conduct) and how these regulations apply to the individual's role/ department/ unit. Proactive in addressing compliance issues; reporting through appropriate channels such as supervisor, chain of command and Ethics Point. Completes mandatory introductory and ongoing training within the specified timeframes.
Maintains current knowledge in present areas of responsibility (i.e., self-education, attends ongoing educational programs).
Works collaboratively and supports efforts of team members. Demonstrates exceptional customer service and interacts effectively with physicians, patients, residents, visitors, staff, and the broader health care community.
Educational/Experience Requirements:
High school diploma or equivalent required; however, candidates without a diploma or equivalent may substitute one additional year of verified security experience.
At least one (1) year of Health care Safety and Security experience preferred.
Must pass a criminal records background check prior to employment.
Possess strong verbal, interpersonal communications skills and excellent customer service.
Successfully complete Conflict Management training and demonstrate the ability to non-escalate, de-escalate and ensure safe physical stabilization tactics within six (6) months.
License/Certifications:
IAHSS Basic Officer Certification preferred, required for any promotion.
Must possess and maintain a valid Maryland driver’s license or valid license from the state in which the employee resides with no more than two (2) Points on current driving record.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands – Heavy
Exerting more than 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently, and/or in excess of 20 pounds of force constantly to move objects.
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Luminis Health Benefits Overview:
Medical, Dental, and Vision Insurance.
Retirement Plan w/employer contribution.
Paid Time Off.
Employee Tuition Assistance Benefits.
Employee Referral Bonus Program
Employer Paid Holidays, Disability, and Life/AD&D for full-time employees
Wellness Programs/Employee Assistance Programs and more
The pay transparency ranges represent the low and the high end of Luminis Health’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate’s skills in relation to the job requirements, work experience, market conditions, education/training, and other qualifications. Luminis Health offers a total rewards package that supports our employees’ health, life, career, and retirement.
Pay Range
$20
—
$25 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Remote, UK
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
European governments, research institutions, and public bodies are investing in large-scale AI, analytics, and data infrastructure. MinIO's software-defined, S3-compatible, cloud-native object storage is built for the performance and scale these workloads demand.
We are seeking a technical, creative, and entrepreneurial Sr Regional Sales Manager to lead MinIO's growth in the public sector across EU Region. You will sell to national and regional government, research and HPC centres, universities, healthcare bodies, defence and security agencies, and EU institutions. You will combine technical depth in storage, data lake/lakehouse, AI/ML, and HPC with a real understanding of how the public sector buys, so you can shape and win complex, multi-stakeholder deals of €250K+.
What You Will Do
Drive Public Sector Business Development:
Identify and develop opportunities across ministries, agencies, research organisations, and public institutions. Engage early, before requirements are written, to influence strategy, architecture, and budget planning.
Lead Technical and Vision Selling:
Articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, analytics, and HPC, not just incremental improvements. Translate technical capabilities into mission outcomes and public value.
Navigate Public Procurement:
Manage the full cycle from early engagement through tender, evaluation, and award. This includes EU and national procurement rules, framework agreements, and dynamic purchasing systems. Respond to RFIs, RFPs, and ITTs with Solutions Engineering, Legal, and Contracts.
Close Complex Deals:
Own opportunities with longer, committee-driven sales cycles, from first contact through to award.
Compete and Win Against Legacy Vendors:
Position cloud-native, S3-compatible object storage against traditional storage vendors by demonstrating its advantages for modern workloads. Make the case on cost, flexibility, and performance.
Support Security Reviews:
Work with customers and internal teams to respond to security questionnaires and architecture reviews, involving Product and Legal as needed.
Build the Business Case:
Develop ROI and total-cost-of-ownership models that speak to public-sector priorities: value for money, risk reduction, and long-term sustainability.
Partner-First Territory Strategy:
Build and run co-selling plans with resellers, system integrators, and alliance partners, including those holding public-sector frameworks, to extend coverage and reach buyers who purchase through partners.
Collaborate Cross-Functionally:
Work with Solutions Engineering, Product, Legal, and Marketing on tailored solutions, successful POCs and pilots, and a smooth path from award to deployment.
Forecast with Discipline:
Maintain accurate pipeline management, realistic forecasting that reflects procurement timelines and budget cycles, and clear account plans.
Your Skills and Experience
Public Sector Sales Expertise:
7+ years of enterprise or public-sector sales in the EU, with consistent quota attainment and average deal sizes of €250K+.
Procurement Fluency:
Hands-on experience with public tenders and frameworks, and with working through procurement officers, technical evaluators, and budget holders.
Technical Acumen:
Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. You can engage architects and researchers and connect technical concepts to mission and policy outcomes.
Public Sector IT Awareness:
Working knowledge of the data protection and security requirements that shape European public-sector IT purchasing.
Partner-Led Approach:
Track record of building co-selling strategies with channel, SI, and alliance partners.
Competitive Selling:
Proven ability to displace entrenched vendors with a differentiated value proposition.
Consultative, Challenger Mindset:
You teach, tailor, and challenge customer thinking, and you shape requirements rather than just responding to them.
Startup Mindset:
Comfortable with ambiguity and building from the ground up in a fast-moving company.
Network:
Established relationships within UK/EU public institutions, research communities, and the partner ecosystem.
Communication:
Excellent presentation, negotiation, and relationship-building skills with technical and executive stakeholders. Fluency in English and other relevant local languages is required.
Education:
BA/BS in computer science, engineering, business, or a related field; MBA preferred.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Tokyo; Kuala Lumpur
Workplace: remote
ABOUT YOU
As a Solutions Engineer, you are the technical point of contact for our strategic enterprise partners. You'll be the person a partner trusts to answer a hard API question on a live call, the person who diagnoses why a payment token request is returning an empty-cart error, and the person who makes sure a major launch is technically ready before the traffic hits.
This is a hands-on, partner-facing engineering role. You'll spend your time troubleshooting real integration problems, reproducing and routing defects, and protecting our development teams from being pulled off their roadmaps for questions you can answer or resolve yourself. You'll work closely with Customer Success, Tech Leads, Directors of Engineering, Product Owners, and QA — and you'll be the connective tissue that keeps all of them in sync on behalf of the partner.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators.
Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
What You'll Do
Customer-facing technical support
Serve as the technical liaison for strategic enterprise partners during the post-sales relationship.
Join partner calls to answer technical questions in real time and resolve concerns on the spot.
Respond to technical inquiries quickly (target: within 30 minutes during coverage hours) so partners are never left waiting.
Shield engineering teams from non-technical and routine technical interruptions, escalating to Tech Leads and Directors of Engineering only when a question genuinely requires deep platform expertise.
Ticket and bug management
Create, own, and drive Xsolla Service Desk tickets to resolution — acting as both reporter and assignee on the issues you handle.
Triage incoming issues: handle technical questions directly, route non-technical ones to Customer Success, and assign complex defects to the right engineering owner.
Troubleshoot and fix minor bugs yourself when feasible, following proper code review and deployment processes.
For complex bugs and new feature requests, capture clean requirements and escalate to the Tech Lead with the context engineering needs to act.
For live production-impacting issues, drive to root cause and confirmed fix — convening the on-call team in a live session when necessary.
Launch readiness
Create and manage Partner Launch Event tickets for partner sales and launches.
Validate technical launch requirements with the partner and assign preparation subtasks to the relevant engineering teams.
Support Product Owners and Directors of Engineering in building a plan to staff and monitor live launch events.
Continuously improve the Partner Launch Event process alongside Customer Success and engineering stakeholders.
Process and platform stewardship
Follow engineering and deployment processes carefully to avoid introducing regressions.
Maintain the access you need to do the job: code repositories, logs, internal troubleshooting and testing tools, and dev environments.
Communicate regularly with Tech Leads and Directors of Engineering on request resolution and bug-fix timelines.
Bring structure to how defects and feature requests are reported, reducing back-and-forth and giving partners and engineers a clearer shared picture.
What Your Day Actually Looks Like
To make the scope concrete, here are the kinds of problems you'd be handling:
A partner reports an "empty cart" error when calling the create-payment-token endpoint — you read the API docs, check their catalog and SKU configuration, identify the validation failure, and walk them through the fix.
A partner's engineer raises a sharp question about whether 64-bit integer IDs in JSON webhooks could lose precision at scale — you give a technically credible answer and propose a forward-looking path.
A webhook stops firing on a partner's store — you audit the webhook settings, confirm what's configurable via Admin API versus what needs an internal change, and coordinate the escalation.
A major partner is launching a seasonal event — you create the launch event ticket, validate readiness, line up the engineering subtasks, and stay close during the event.
You spot a recurring pattern of partner requests that creates operational risk, and you write it up clearly for leadership so the organization can get ahead of it.
What We're Looking For
Required
Strong working knowledge of REST APIs, JSON, and webhooks — you can read documentation, construct and interpret requests/responses, and reason about payload structure and edge cases.
Hands-on debugging and troubleshooting ability: reproducing issues, reading logs, and isolating root cause versus symptom.
The judgment to know when to fix something yourself and when to escalate — and the discipline to route issues to the right owner with clean context.
Excellent partner-facing communication: you can explain technical concepts clearly to both technical and non-technical audiences, and you stay calm and credible during production incidents.
Comfort working in a ticketing/issue-tracking workflow (e.g., Jira) and following defined engineering and deployment processes.
Ownership mentality — you drive problems to resolution rather than logging them and handing off.
Experience in video game commerce, payments, e-commerce, or fintech platforms.
Preferred / Nice to Have
Familiarity with storefront, catalog/SKU, and monetization systems, or prior experience integrating with a platform like Xsolla.
A coding background sufficient to make small fixes and understand engineering trade-offs.
Experience supporting enterprise or strategic accounts in a post-sales technical capacity (Solutions Engineering, Technical Account Management, Integration Engineering, or Developer Support).
Experience operating in an on-call or incident-response rotation.
What Success Looks Like
Partners view you as their trusted technical point of contact and resolve issues with you rather than escalating around you.
Technical questions are answered fast, and engineering teams stay focused because routine and intermediate issues stop with you.
Defects and feature requests reach engineering well-scoped, reducing back-and-forth and rework.
Launches are technically validated ahead of time and supported through go-live.
Production incidents reach confirmed root cause and fix, with clear ownership.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com
For more vacancies: Careers | Xsolla
Location: New York City
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About the Role
DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does.
You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise.
What You'll Do
Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK
Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance
Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage
Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see
Run social engineering and phishing simulations to assess and improve organizational security awareness
Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners
Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action
Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses
Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them
Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge
Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team
What We're Looking For
5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration
Strong scripting or programming ability for building and adapting offensive tooling
Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms
Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it
Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve
A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand
Experience with smart contract auditing and blockchain security
Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling
A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws
The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About the Role
DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does.
You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise.
What You'll Do
Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK
Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance
Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage
Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see
Run social engineering and phishing simulations to assess and improve organizational security awareness
Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners
Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action
Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses
Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them
Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge
Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team
What We're Looking For
5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration
Strong scripting or programming ability for building and adapting offensive tooling
Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms
Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it
Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve
A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand
Experience with smart contract auditing and blockchain security
Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling
A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws
The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
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's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work.
Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work.
This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows.
You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time.
WHAT YOU'LL DO
Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats.
The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey.
WHAT YOU HAVE
- 3+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required.
- Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree.
- Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus.
- Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption.
- Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses.
COMPENSATION
• OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity
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-TM1
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's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work.
Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work.
This role is the first Finance Engineer dedicated to real estate. You will build the real estate playbook — demo library, workflow templates, use cases — while running live pilots, and lead the real estate practice as the team grows.
You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time.
WHAT YOU'LL DO
Forward Deployed Finance Engineers on the real estate team are former acquisitions and real estate credit professionals who left the deal side to help build the future of how property gets underwritten. Working closely with Account Executives, they engage with real estate private equity platforms, real estate debt funds, insurer and asset-manager real estate arms, and developer-investors throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding investors through what's possible with AI, and sitting down with acquisitions teams to build screening, underwriting, and investment committee workflows in the firm's own templates and formats.
The work is the work they did on the desk: OM and broker package review; rent roll and T-12 normalization; lease and estoppel abstraction; ARGUS and acquisition model builds; third-party report review (appraisal, property condition, environmental); sale and rent comps; loan document and term sheet review; and investment committee materials. It continues post-close into asset management reporting, loan compliance, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring acquisitions-team feedback back into the product, helping shape the future of Harvey.
WHAT YOU HAVE
- 3+ years on an acquisitions, asset management, or real estate credit team at a real estate private equity platform, real estate debt fund, insurer or asset-manager real estate arm, or developer-investor, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting committee materials. Brokerage, valuation, or investment banking experience before the principal side is welcome, but principal-side deal execution is required.
- Strong command of the documents and data that drive a real estate investment decision — OM and broker package, rent roll and T-12, leases and estoppels, third-party reports, loan documents, ARGUS and Excel acquisition models — and an instinct for where the numbers and the paper disagree.
- Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus.
- Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption.
- Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Customer-facing or commercial experience (LP or investor relations, capital formation, banking or brokerage coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses.
COMPENSATION
• OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity
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-TM1
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: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
Why Technology at loveholidays
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The difference you’ll make
You’ll sit in the Discover and Book team, reporting to the Lead Software Engineer. You’ll work closely with our product and design teams to help shape fast, accessible and reliable experiences for customers. You’ll work on high-impact journeys across search, discovery and booking, helping customers find and book their next holiday across web and mobile, while continuing to evolve our frontend platform and keep us at the forefront of modern web engineering.
You’ll create polished, high-performing customer experiences that make finding and booking a holiday simple and trustworthy. You’ll bring strong product and engineering judgement to the team, balancing speed of delivery with accessibility, performance, consistency and long-term maintainability.
Discover and Book sits within our Customer Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers.
You will:
- Build modern, responsive web experiences that are fast, accessible, reliable and maintainable.
- Work closely with Product and Design to turn customer problems into simple, intuitive journeys.
- Raise the quality bar for UI by ensuring experiences are accessible, visually consistent and work well across devices, browsers, languages and European markets.
- Build and evolve customer journeys that work seamlessly across the web and our iOS and Android app, accounting for the behaviours and constraints of each platform.
- Evolve our design system, shared components and design tokens so teams can build consistent experiences quickly.
- Improve web performance, including page load speed, rendering, bundle size and Core Web Vitals.
- Use experimentation, analytics and customer insight to make informed product decisions.
- Build well-tested, observable features and use production signals to continuously improve them.
- Collaborate with backend engineers on APIs and data contracts, keeping data ownership clear and frontend integrations straightforward.
- Mentor other engineers through pairing, code review and pragmatic technical guidance.
- Contribute to our frontend migration, bringing customer journeys from our established application onto our modern shared frontend platform.
Your day-to-day:
- Deliver customer-facing features iteratively, using experimentation and customer insight to validate ideas and improve outcomes.
- Partner with engineers, designers, product managers and analysts within and beyond your team.
- Build and maintain reusable UI components, patterns and tooling.
- Validate customer experiences across web, iOS and Android.
- Make thoughtful technical decisions that support both immediate customer value and longer-term platform goals.
- Ensure features are accessible, resilient and measurable. Investigate and resolve production issues using observability tools, analytics and customer feedback.
- Leave the codebase, documentation and developer experience better than you found them.
Your skillset:
- Experience building server-rendered, performant web applications.
- A strong understanding of HTML, CSS, responsive design and browser behaviour. A practical commitment to web accessibility and inclusive design.
- Experience creating and maintaining component libraries or design systems.
- Experience consuming and shaping APIs, ideally GraphQL and REST.
- Strong testing habits across unit, integration and end-to-end testing. An understanding of performance, monitoring, reliability and observability in customer-facing web applications.
- The ability to break down ambiguous problems, make sound trade-offs and deliver incrementally.
- Takes ownership of outcomes, not just tasks. Proactively identifies opportunities to improve the customer experience and considers how their work supports our customer vision as we scale into new markets.
- You can work effectively across frontend and backend boundaries, collaborating with teams to deliver end-to-end customer journeys.
- Clear communication and a collaborative approach to working with Design, Product and Engineering colleagues.
Our frontend tech stack
Core: TypeScript · React/Preact · Vite · SSR · GraphQL · Figma · Storybook · GitHub
Other: Panda CSS · Design Tokens · Node.js · Vitest/Jest · Playwright · Appium · Capacitor · OpenTelemetry · Sentry · Feature Flags
The interview journey:
- Talent intro - 30 mins
- 1st stage with two Software Engineers - 45 mins
- Take-home challenge
- Final stage with key stakeholders, in office - 3 hours
- Challenge discussion - 1 hour
- Reliability and Infrastructure - 45 mins
- Tech and Product Culture - 45 mins
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Access to our electric vehicle salary sacrifice scheme
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
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's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work.
Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work.
This role is the first Finance Engineer dedicated to buyout. You will build the buyout playbook — demo library, workflow templates, use cases — while running live pilots, and lead the buyout practice as the team grows.
You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time.
WHAT YOU'LL DO
Forward Deployed Finance Engineers on the buyout team are former deal professionals who left the investment side to help build the future of how deals get done. Working closely with Account Executives, they engage with middle-market and lower-middle-market buyout funds, sector specialists, and serial acquirers throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding sponsors through what's possible with AI, and sitting down with deal teams to build screening, underwriting, diligence, and investment committee workflows in the firm's own templates and formats.
The work is the work they did on the desk: CIM and management presentation review; QoE and data pack analysis; banker and operating model interrogation; LBO and returns analysis; comps; add-on screening; and investment committee materials. It continues post-close into portfolio monitoring, add-on pipeline tracking, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring deal-team feedback back into the product, helping shape the future of Harvey.
WHAT YOU HAVE
- 3+ years on the investment team at a buyout fund — middle-market or lower-middle-market, ideally with add-on activity — or a growth-buyout or sector-specialist fund, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting investment committee materials. Investment banking or transaction advisory experience before the buyside is welcome, but principal-side deal execution is required.
- Strong command of the documents and data that drive a buyout decision — CIM and management presentation, QoE and data pack, banker and operating models, LBO, purchase agreement and financing terms — and an instinct for where the numbers and the paper disagree.
- Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus.
- Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption.
- Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses.
COMPENSATION
• OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity
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-TM1
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
ГибридAustin
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
leadSan Francisco, CA | New York City, NY; Location: this is a global role, with a preference for candidates based in San Francisco or New York
УдалённоleadUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance