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Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Generalist - English &amp; Telugu
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $15&ndash;$20/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Conduct fact-checking using trusted public sources and external tools.
 </li>
 <li>
 Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
 </li>
 <li>
 Assess reasoning quality, clarity, tone, and completeness of responses.
 </li>
 <li>
 Ensure model responses align with expected conversational behavior and system guidelines.
 </li>
 <li>
 Work independently and asynchronously to meet deadlines while improving AI model performance.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Bachelor's degree.
 </li>
 <li>
 Native speaker in Telugu.
 </li>
 <li>
 Significant experience using large language models.
 </li>
 <li>
 Excellent writing skills in English.
 </li>
 <li>
 Strong attention to detail.
 </li>
 <li>
 Background or experience in domains requiring structured analytical thinking.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience with RLHF, model evaluation, or data annotation work.
 </li>
 <li>
 Experience writing or editing high-quality written content.
 </li>
 <li>
 Experience comparing multiple outputs and making fine-grained qualitative judgments.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Language Specialist - Fully Remote | Upto $20/hr Part-time

Brex

<div>
 
 Why join us
 
 
 
 Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex&rsquo;s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
 
 
 Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We&rsquo;re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
 
 
 
 Data at Brex
 
 
 
 Our Scientists and Engineers work together to make data &mdash; and insights derived from data &mdash; a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
 
 
 
 Where you&rsquo;ll work
 
 
 
 This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
 </li>
 <li>
 Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
 </li>
 <li>
 Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
 </li>
 <li>
 Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
 </li>
 <li>
 Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
 </li>
 <li>
 Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
 </li>
 <li>
 Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
 </li>
 <li>
 Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
 </li>
 <li>
 Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
 </li>
 <li>
 Experience integrating and orchestrating data workflows with various modern data tools and systems.
 </li>
 <li>
 Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
 </li>
 <li>
 Experience working with a data warehouse such as Snowflake.
 </li>
 <li>
 Experience with a data workflow orchestrator tool such as Airflow.
 </li>
 <li>
 Experience with a programming language such as Python.
 </li>
 <li>
 Experience with agentic AI.
 </li>
 <li>
 Exceptional quantitative and analytical skills.
 </li>
 <li>
 Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Familiarity with BI tools such as Looker, Tableau, or similar platforms.
 </li>
 <li>
 Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
 </li>
 <li>
 AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
 </li>
 <li>
 Experience with Salesforce data integration.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate&rsquo;s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
 
 
 Brex LLC is a wholly owned subsidiary of Capital One, N.A.
 
 
 
 Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
 
</div>

Data Engineer

Highwire

<div>Highwire is reimagining what a creative designer can be. We are an AI-native, sector-expert, outcome-obsessed partner to the world's most innovative companies. As our AI Design Lead, you sit at the intersection of human-centered creative craft and machine-driven scale. You are a designer and a systems architect, defining how we build repeatable creative workflows that turn potential into influence. You will play a central role in operationalizing AI across our creative workflows, ensuring that our work maintains its gravity and cultural relevance while accelerating delivery.

About You:

You are a design hybrid with a deep appreciation for the traditional craft of visual communication and a forward-thinking mastery of AI. You have spent the last three years in the trenches of LLM-driven platforms, moving beyond simple prompting to build scalable, production-ready creative systems. Your portfolio proves your ability to command large-scale brand work that resonates, and your experience demonstrates that you understand how to harness technology to amplify&mdash;not replace&mdash;the human element.

Key Responsibilities
<ul>
<li>Architect AI-Native Creative Systems: Partner with our Innovation and Creative teams to build and refine workflows that translate approved human-first designs into scalable, multi-format asset systems.</li>
<li>Bridge Craft and Scale: Maintain Highwire's standard for high-quality, high-gravity creative output while overseeing the automated generation, versioning, and adaptation of assets for global campaigns.</li>
<li>Human Oversight: Execute AI-assisted production workflows in accordance with client branding and compliance requirements, with mandatory human review and approval at all production stages before submission.</li>
<li>Operationalize AI Integration: Deeply integrate LLMs and design APIs (Figma, Canva, Adobe Firefly, etc.) into our daily creative lifecycle, streamlining the journey from concept to execution.</li>
<li>Brand Compliance: Maintain and execute AI-assisted compliance checks against client brand guidelines and visual standards.</li>
<li>Modular Production: Build and version modular asset systems that can support scaled campaign production across formats and channels, with the flexibility to surge as launch volume fluctuates.</li>
<li>Guardrails Maintenance: Maintain and update AI production guardrails libraries and brand standards documentation as brands and campaigns evolve, documenting prompt structures, workflow decisions, and asset versioning for team knowledge and QA purposes.</li>
<li>Creative Governance &amp; QA: Conduct quality assessment of AI-generated output across diverse client industries (B2B tech, healthcare, financial services), ensuring assets meet brand standards and strategic intent before escalating to senior Creative leads for final approval.</li>
<li>Cross-Functional Collaboration: Partner with senior Creative leads and account teams to ensure all AI outputs align with client-specific marketing objectives, ensuring our technology-enabled services increase multi-service attachment and client ROI.</li>
<li>Mentorship: Champion the use of AI tools across the wider creative team, fostering a culture of experimentation and raising the baseline of our agency's AI fluency.</li>
</ul>
Candidate Requirements
<ul>
<li>LLM Deep-Dive: 3+ years of professional, hands-on experience working directly with LLM-driven platforms and AI-integrated design apps (e.g., generative image models, LLM-based layout tools).</li>
<li>Prompt Art Direction Engineering: Demonstrated fluency in structuring, iterating, and version-controlling prompts within production AI environments, beyond what general LLM platforms can do.</li>
<li>Proven Design Craft: A robust portfolio of large-scale brand work that demonstrates mastery of typography, layout, motion design, and visual storytelling&mdash;competing with top-tier agency work.</li>
<li>Strategic &amp; Technical Fluency: Proven ability to translate creative strategy into technical workflows; you don't just understand the &quot;what,&quot; but the &quot;how&quot; of automating high-quality design.</li>
<li>Production Scalability: Comfort operating in a high-volume, deadline-driven environment with fluctuating production demands and the ability to adapt quickly to shifting campaign priorities.</li>
<li>Agency Experience: Experience working in a fast-paced agency environment, comfortable with shifting priorities, tight deadlines, and complex, multi-stakeholder feedback loops.</li>
<li>Team Integration: Experience working as an embedded contributor, executing within defined systems and escalating creative decisions to senior leads appropriately.</li>
<li>System-First Mindset: Experience in building design systems, template libraries, and component-based creative architectures that scale.</li>
<li>Collaborative Spirit: A demonstrated history of partnering across disciplines (Content, Strategy, Accounts) to ensure design is a primary driver of business outcomes.</li></ul> 


The salary range for this position is $80,000 to $105,000, with the final offer based on a combination of factors, including education, relevant experience, skills, prior training, internal equity, and local geographic market data. This role also includes a competitive benefits package with medical, dental, and vision coverage, 401(k) matching, generous paid time off, and additional perks designed to support your overall well-being and growth. #LI-Hybrid<div>
About Highwire

Highwire is a strategic marketing communications agency at the intersection of innovation and industry. We partner with ambitious companies and established brands to navigate complexity, lead markets, and grow with purpose. With integrated expertise in strategic marketing and communications, corporate reputation, creative, and insights, we cut through the noise to deliver bold ideas and measurable impact across B2B technology, healthcare, cybersecurity, energy, professional and financial services, and more.

At Highwire, we believe that storytelling fuels transformation. We know that the most impactful stories represent all voices and perspectives. As a values-driven agency, we foster an inclusive environment where everyone&mdash;regardless of age, race/ethnicity, size, shape, gender identity, sexual orientation, religion and different abilities&ndash;can feel safe, celebrated and worthy.

We ensure that every Highwire Walker has the requisite support to soar in their careers. Our commitment to diversity, inclusion and belonging is foundational and embedded in our business and culture. We aspire to change our industry and build a better future for all.

Our people-first culture is driven by four core values:
<ul>
<li>Team Empowerment</li>
<li>Growth Mindset</li>
<li>Inclusion Always</li>
<li>Fierce Distinction</li>
</ul>
We're looking for individuals with big ideas, strong opinions, and the energy to bring them to life. If you thrive in an environment that values personal accountability, high standards, and boundless motivation, this is the opportunity for you. Be part of our award-winning culture and contribute to an exciting and growing business where you can make a real impact.

Highwire. Above all.

Our people-first culture is reflected in the meaningful benefits, flexibility, and support we offer:
<ul>
<li>Competitive salary with merit-based opportunities for growth</li>
<li>Flexible hybrid work model tailored to your schedule and lifestyle</li>
<li>Generous vacation policy, including extended summer and winter breaks</li>
<li>Early log-off on Fridays through our Empower Hours program</li>
<li>401(k) plan with employer matching</li>
<li>Comprehensive medical, dental, and vision coverage, plus FSA options</li>
<li>Paid parental leave benefits</li>
<li>Commuter benefits</li>
<li>Annual Growth Mindset stipend for books, events, or learning experiences</li>
<li>Monthly technology reimbursement</li>
<li>Wellness benefit program for mental and physical health</li>
<li>501c3 donation matching program</li>
<li>Mentorship and ongoing professional development opportunities</li>
<li>Monthly recognition and team celebrations</li>
<li>Employee referral and new business referral bonuses</li>
<li>Quarterly Highwire events and team gatherings</li>
<li>Dog-friendly office environment</li>
<li>A supportive, inclusive, and collaborative workplace where you can grow and do your best work</li>
</ul>
Location &amp; Work Environment

Highwire offers both remote and hybrid work options, depending on where you live.

Hybrid: Candidates located within commuting distance of our New York, NY or San Francisco, CA offices follow a hybrid schedule, with three in-office days per week.

Remote: We hire for fully remote roles in the following states: California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Washington, D.C..

Please note: We are only able to consider candidates who reside in one of the locations listed above at the time of hire.

Join the Highwire team

If you're inspired by the opportunity to shape meaningful stories and grow alongside a team that values innovation, accountability, and inclusion, apply below to start the conversation.

Please note: This posting may be used to build our talent pipeline, connect with top professionals in the industry, or extend reach across multiple locations. We welcome all interested candidates to apply and explore opportunities at Highwire!</div></div>

AI Design Lead

CircleCI

<div><h3 class="jobSectionHeader">About the Role:</h3>

The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager &mdash; they roll up their sleeves on the hardest problems, set the standard for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a credible, trusted partner to Sales, CS, and Marketing leadership.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Set the analytical strategy and roadmap for GTM, proactively identifying the highest-leverage opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention.</li>
<li>Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team.</li>
<li>Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and raise the bar for statistical depth, EDA, and storytelling.</li>
<li>Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous causal methods, not just attribution heuristics.</li>
<li>Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts.</li>
<li>Lead marketing attribution methodology, moving the team beyond last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline.</li>
<li>Partner with Revenue Operations and Finance on pipeline and revenue forecasting models that inform quota setting, capacity planning, and board-level reporting.</li>
<li>Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence decisions on territory design, segmentation, campaign investment, and retention strategy before they are made.</li>
<li>Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth.</li>
<li>Champion AI as a force multiplier. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-leverage problems.</li>
</ul><h3 class="jobSectionHeader">What You'll Bring:</h3>
<ul><li>7+ years of experience in data science or quantitative research, with at least 2 years managing a team of data scientists.</li>
<li>Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work.</li>
<li>Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar.</li>
<li>Experience with causal inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to real GTM or business problems.</li>
<li>Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context.</li>
<li>Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level.</li>
<li>Exceptional storytelling skills, able to translate complex methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders.</li>
<li>Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic insight generation.</li>
</ul><h3 class="jobSectionHeader">Bonus/Nice To Have:</h3>
<ul><li>Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context.</li>
<li>Experience with marketing attribution beyond last-touch, media mix modeling, incrementality testing, or multi-touch attribution.</li>
<li>Familiarity with revenue forecasting and pipeline modeling in partnership with RevOps or Finance.</li>
<li>Background in SaaS, developer tools, or B2B product-led growth metrics.</li>
<li>Experience with CRM data (Salesforce or HubSpot) and marketing automation platforms as analytical data sources.</li>
<li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants and a track record of helping a team adopt them.</li>
<li>Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring.</li>
</ul><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. 
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold 
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</div></div>

Data Science Manager, GTM

Valence

<div>Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We&rsquo;re not just talking about the future of work &mdash; we&rsquo;re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365
Our focus is on the problems that actually decide whether AI changes how organizations operate &mdash; the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.
And this isn&rsquo;t for everyone. We&rsquo;re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what&rsquo;s possible, who get bored when things feel &ldquo;done,&rdquo; and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.<div></div> 
The Role
As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk. Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.
Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path. You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.
We don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute across challenges that span reliability, security, global delivery, and developer experience.<div></div> 
About Valence
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.<div></div> 
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestl&eacute;, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.<div></div> 
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
What You'll Do<ul><li>
Build the paved roads. Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.</li><li>
Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.</li><li>
Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.</li><li>
Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.</li><li>
Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.</li><li>
Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.</li><li>
Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.</li></ul>
What We're Looking For<ul><li>
Technical foundation: 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.</li><li>
Platform mindset: You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.</li><li>
Reliability and change-safety expertise: Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.</li><li>
Cloud &amp; deployment experience: Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).</li><li>
Security &amp; compliance awareness: Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.</li><li>
Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.</li><li>
Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.</li><li>
Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.</li></ul>
What You'll Get<ul><li>
Ownership &amp; Rapid Growth</li><li>
Outsized missions from day one, with direct responsibility for company-defining projects</li><li>
Work alongside the executive team with transparency into strategy and decision-making</li><li>
Influence on direction through real-time customer feedback and market insights</li></ul><div></div><ul><li> 
AI-First Operator</li><li>
Work directly with cutting-edge AI models and next-generation platforms</li><li>
Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries</li><li>
Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale</li></ul><div></div><ul><li> 
Compensation</li><li>
Competitive salary including base + bonuses</li><li>
Comprehensive health coverage (medical, dental, vision) from day one</li><li>
Generous PTO, company-wide R&amp;R shutdowns, and paid parental leave</li><li>
Retirement plan support for US and global employees</li></ul><div></div><ul><li> 
Equity</li><li>
Meaningful ownership in a venture-backed company at a growth inflection point</li><li>
Financial upside that comes from scaling fast</li><li>
Top-up grants as we scale and you deliver exceptional performance &mdash; your compensation grows alongside your impact</li></ul><div></div><ul><li> 
Top-Performing Culture</li><li>
A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together</li></ul><div></div> 
Learn more about us and meet our team here
Location and Work Environment
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.<div></div> 
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.<div></div> 
Employment Verification &amp; Commitment
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.
Valence is committed to protecting the privacy of all applicants. Information you submit will be used for recruiting, evaluation, legal compliance, and recordkeeping purposes only. We do not require access to personal account credentials at any stage of the hiring process. For more information, see our Candidate Privacy Notice.<div></div> 
#LI-HYBRID</div>

Staff Software Engineer, Platform

reddit

<div><div><div><div><div><div><div><div>Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div>Team overview:

The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit's Ads prediction models, in alignment with our product goals and driving SoTA modeling advancement.

This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.

We're a remote-friendly company, and this position is open to candidates anywhere in the U.S.

Responsibilities:
<ul>
<li>Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.</li>
<li>Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.</li>
<li>Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.</li>
<li>Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.</li>
<li>Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques.</li>
</ul>
Candidate Profile:

The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have:
<ul>
<li>People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth.</li>
<li>Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives.</li>
<li>Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.</li>
<li>Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.</li>
<li>Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.</li>
<li>Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques.</li>
</ul>
Required qualifications:
<ul>
<li>At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well</li>
<li>Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems. Proven ability in training, evaluating, and deploying large-scale models.</li>
<li>End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models.</li>
<li>4+ years of hands-on experience with TensorFlow or PyTorch.</li>
<li>Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.</li>
<li>Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.</li>
<li>Exceptional Communication &amp; Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners</li>
</ul><ul><li>Experience with Ads or Engagement Modeling is a plus.</li>
</ul>
Perks and Benefits:
<ul>
<li>100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)</li>
<li>Competitive salary and equity options</li>
<li>Comprehensive health benefits (medical, dental, vision) &amp; workplace perks (home office set up stipend etc)</li>
<li>Generous 401k matching</li>
<li>Flexible vacation policy</li>
<li>Paid parental leave (4+ months)</li>
<li>Family planning support</li>
<li>Paid volunteer time off</li>
</ul>
#LI-AS1<div> 
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div></div>

Machine Learning Engineering Manager - Ads Engagement Modeling

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

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