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data scientist

Swish Analytics

<div>
 
 Company Overview
 
 
 
 Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
 
 
 
 Job Description - This position is 100% Remote
 
 
 
 
 Duties:
 
 
 
 <ul>
 <li>
 Manage client risk, ensuring the highest margins on Swish products through +EV decisions
 </li>
 <li>
 Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch &amp; in-play settings
 </li>
 <li>
 Strategically research &amp; track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
 </li>
 <li>
 Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Minimum of 3 years of in-play experience at a sportsbook
 </li>
 <li>
 Deep understanding of sports betting and odds origination
 </li>
 <li>
 Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
 </li>
 <li>
 Strong mathematical, statistical, and/or analytical skills &ndash; ability to understand and calculate + convert odds on the fly
 </li>
 <li>
 Results driven work ethic &ndash; focused on improving process, results and profitability
 </li>
 <li>
 Availability to work flexible schedules, including nights, weekends and/or holidays
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in a STEM discipline
 </li>
 <li>
 An understanding of relational database systems (MySQL)
 </li>
 <li>
 Experience working with cross functional teams (Data Science teams a plus)
 
 
 </li>
 </ul>
 
 Salary:
 
 $80,000 - DOE
 
 
 
 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer&rsquo;s discretion, this position may require successful completion of background and reference checks.
 
</div>

Trading Analyst

Sia Experience

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
About Sia Experience-Marketing Advisory
Sia Experience is the end-to-end marketing and customer experience arm of Sia. Agile and collaborative, our Marketing Advisory Business Line is recognized for delivering high-impact, growth-focused solutions by blending marketing, CX, creative, AI, and deep industry expertise.
As strategic partners, The Marketing Advisory team empowers clients across technology, luxury, consumer goods, finance, energy, and more to scale operational excellence and drive brand-led growth through AI- and data-driven strategies. Our teams lead full-funnel marketing transformations&mdash;from strategy and go-to-market execution to experience design, performance measurement, and sustainable impact.
It&rsquo;s an exciting time to join us. SiaX has long been the agency behind some of the world&rsquo;s biggest brands&mdash;now we&rsquo;re expanding, becoming one of the most recognizable names for companies that demand bold, business-driving creative. We&rsquo;re shaping SiaX into the go-to agency of the future. This is your chance to be part of that growth, working alongside top-tier creatives, consultants and agency leaders to continuously evolve what a modern, full-service agency can be. Opportunities like this don&rsquo;t come around often&mdash;if you want in on the next level, this is it. 
Job Description 
Remote: (9-6pm PST hours)
Rate: $80-$90 an hour
Contract Length: 06/2026-12/2026
We are seeking an experienced Technical Project Manager with a strong marketing analytics foundation to lead execution of large-scale, high-impact marketing and projects. This role operates at the intersection of Marketing, Engineering, and Data Science, owning end-to-end campaign and project execution with a strong emphasis on operational rigor, technical excellence, and data-driven decision making.
Supporting multiple cross-functional development teams operating under a scrum methodology, this role is responsible for driving campaign launches, delivering centralized marketing performance reporting, maintaining roadmaps, and ensuring projects are delivered on time and aligned to business outcomes. The ideal candidate brings a marketing analytics background that enables them to not only manage projects but also meaningfully interpret performance data, partner with Decision Scientists, and translate insights into action, while communicating flawlessly with stakeholders at every level.
Key Responsibilities
Project Management<ul><li>
Own end-to-end execution of technical marketing launches and road maps from intake and planning through launch, QA, and performance analysis.</li><li>
Manage day-to-day project planning activities through team standups, project management tooling, and regular project meetings &mdash; proactively eliminating and mitigating risks and blockers.</li><li>
Translate campaign and product objectives into detailed technical implementation plans, aligning stakeholders on requirements, dependencies, and execution approach.</li><li>
Build and maintain detailed project plans and roadmaps outlining scope, timelines, and dependencies to ensure high-quality, on-time delivery.</li><li>
Initiate, schedule, and conduct project meetings with engineers, decision scientists, business analysts, and product managers; capture notes and follow up on action items.</li><li>
Collaborate with teams to create and drive roadmap and tactical activities against key project objectives, ensuring projects are added, prioritized, and removed as appropriate.</li><li>
Maintain visual executive-level roadmaps reviewed on at least a monthly cadence.</li></ul>
Campaign Setup &amp; Technical Execution<ul><li>
Own campaigns end-to-end, including hands-on configuration within internal tools (targeting, pacing, surface selection, asset uploads, etc.).</li><li>
Support end-to-end delivery of marketing workflow application development initiatives, partnering with Software Engineering, Product Management, and Data Engineering teams to define requirements, track progress, and ensure technical builds align to marketing operational needs.</li><li>
Drive campaigns through approval workflows and coordinate launches with Engineering and Marketing Data Science teams.</li><li>
Ensure accurate implementation and validation of campaign tracking, telemetry, and measurement systems prior to launch.</li><li>
Document campaign configurations, technical specs, and testing plans.</li><li>
Identify and drive tooling enhancements and process improvements to increase speed to market and reduce operational friction.</li></ul>
Sprint Management &amp; Agile Delivery<ul><li>
Create and update sprints with backlog; work with the team to groom the backlog and hold sprint reviews.</li><li>
Facilitate retrospectives and ensure agendas are submitted for all team meetings.</li><li>
Ensure all project tracking documents are created, kept up to date, and that work status is updated weekly with tasks broken out and dependencies tracked.</li><li>
Partner closely with Marketing, Creative, Engineering, Product, and Data Science teams to drive execution alignment and launch readiness.</li></ul>
Quality Assurance &amp; Optimization<ul><li>
Conduct QA to validate campaign setup, targeting accuracy, and delivery performance.</li><li>
Monitor live campaigns and partner with data science teams to deploy optimization strategies.</li><li>
Own bug intake and triage during testing and launch, working closely with Engineering to drive timely resolution.</li></ul>
Reporting &amp; Continuous Improvement<ul><li>
Leverage campaign adoption metrics, survey data, and performance analysis to evaluate project impact; apply marketing analytics knowledge to identify meaningful patterns and opportunities.</li><li>
Partner with Decision Scientists and Data Engineers to deliver standard, centralized marketing performance reporting across brand sentiment and performance marketing projects.</li><li>
Develop performance summaries and internal updates that highlight key insights, outcomes, and actionable recommendations &mdash; translating data into clear narratives for both technical and non-technical audiences.</li><li>
Drive continuous improvement by connecting analytics findings to campaign strategy, targeting, and execution adjustments.</li><li>
Ensure the team is working on the correct priorities; support resolution and mitigation of roadblocks and delivery risks.</li><li>
Ensure expected timelines are maintained and transparently communicated across stakeholders.</li><li>
Contribute to best practices, documentation, and process improvements across campaign and project operations.</li></ul>
How Success is Measured<ul><li>
Project tracking tools are kept current: all active projects created, statuses updated weekly, tasks broken out, and dependencies tracked and managed.</li><li>
Roadmaps are maintained at least monthly, with accurate prioritization and executive-ready views.</li><li>
Weekly team meetings are well-run: agendas submitted, notes captured, action items logged and followed up.</li><li>
Marketing performance reporting is delivered in a standardized, centralized, and timely manner &mdash; with insights that are actionable for both marketing teams and Decision Scientists.</li><li>
Projects are delivered on time with risks surfaced and resolved proactively.</li><li>
Cross-functional stakeholders are aligned and consistently informed throughout the project lifecycle.</li></ul> 
Qualifications<ul><li> 
8+ years in technical project management, marketing project management, or marketing operations; background in marketing analytics strongly preferred.</li><li>
Familiarity with marketing measurement concepts &mdash; including campaign attribution, A/B testing interpretation, brand sentiment analysis, and conversion analytics &mdash; with the ability to fluently read and QA performance data, partner effectively with data practitioners, and translate findings into campaign and project decisions; experience with SQL or BI tools (e.g., Tableau, Looker) a plus.</li><li>
Demonstrated ability to work with and interpret marketing performance data &mdash; including campaign metrics, brand sentiment indicators, and conversion analytics &mdash; to inform project decisions.</li><li>
Proven ability to manage multiple concurrent projects while proactively communicating status, progress, and blockers.</li><li>
Hands-on experience with marketing technology platforms, campaign management tools, or project management tooling (e.g., Jira, Asana, or equivalent).</li><li>
Strong experience partnering with Engineering, Data Science, Decision Science, and Analytics teams.</li><li>
Experience working in agile/scrum environments; familiarity with sprint planning, backlog grooming, and retrospectives.</li><li>
Excellent communication skills, with the ability to translate complex technical and analytical concepts for non-technical audiences and maintain executive-level visibility.</li><li>
Strong organizational skills, including planning, prioritization, and risk management.</li><li>
High attention to detail and a proactive, problem-solving mindset.</li><li>
Quick learner with strong technical aptitude; comfortable operating in fast-paced, cross-functional environments.</li></ul> 
Additional Information 
Compensation &amp; Benefits
We believe in supporting our team professionally and personally. Here&rsquo;s a snapshot of the comprehensive benefits you&rsquo;ll enjoy as part of Sia.
Competitive Compensation<ul><li>
$80-$90 an hour commensurate with experience and qualifications</li></ul>
Diversity, Equity, Inclusion &amp; Belonging
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
Office Workplace Guidelines
Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations&mdash;New York City, Charlotte, Seattle, and San Francisco&mdash;are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location.
Work Authorization &amp; Sponsorship
At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).</div>

Technical Project Manager, Marketing - Contract

OpenAI

About the Team
 
The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely.
 
The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting.
 
About the Role
 
We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems.
 
You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity.
 
In This Role, You Will
 
Lead and grow a high-performing Trust & Safety Data Engineering team.
 
Define the roadmap and technical strategy for Trust & Safety data systems.
 
Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring.
 
Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting, evaluation, and production inputs.
 
Establish ownership, documentation, data quality standards, monitoring, and operational rigor for critical datasets and workflows.
 
Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls, retention, deletion semantics, and governance.
 
Partner with Trust & Safety, Product, Policy, Privacy, Data Science, Engineering, and Data Platform on launch readiness, operational systems, and safety measurement.
 
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
 
You Might Thrive in This Role If You
 
Have led data engineering teams that build and operate production data systems at scale.
 
Experience in trust and safety, integrity, abuse prevention, fraud, investigations, risk operations, safety systems, privacy, or adjacent domains.
 
Are deeply technical and comfortable with data architecture, modeling, pipelines, reliability, privacy, and operational tradeoffs.
 
Have experience with large-scale data systems such as Spark, Airflow or similar orchestration systems, distributed storage, batch/streaming pipelines, and modern warehouse patterns.
 
Think of data as a product: reliable, documented, governed, observable, discoverable, and designed for repeated use.
 
Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly.
 
Have a strong track record partnering with senior stakeholders across engineering, data science, operations, policy, privacy, product, or executive teams.
 
Have hired, developed, and retained senior engineers.
 
Are motivated by building systems that make frontier AI products safer and more trustworthy.
 
Nice to Have
 
Experience supporting ML systems through feature engineering, training data, labels, model evaluation, or production model pipelines.
 
Experience with launch readiness, monitoring, alerting, incident response, semantic layers, metrics governance, or executive-facing reporting.
 
Workplace & Location
 
This role is based in our San Francisco HQ. We offer relocation assistance to new employees.
 
Please note: this role may involve work related to sensitive or concerning safety, abuse, fraud, or user-risk domains. Strong discretion, judgment, and resilience are essential.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$385K – $490K + Offers Equity

Technical Lead Manager, Data Engineering, Trust & Safety

Surface Labs

<div>
 
 About Surface Labs
 
 
 
 Surface Labs is an applied AI lab building the future of Marketing Operations.
 
 
 We&rsquo;re backed by Y Combinator, Garry Tan, Dharmesh Shah (co-founder of HubSpot), and the CEO of AngelList, our AI agents have driven $40M+ in inbound pipeline and process 50K+ leads monthly.
 
 
 
 We're the CMO's best friend: less manual work, more pipeline, predictable revenue.
 
 Our system creates and captures demand with content agents that boost rankings in AI search (ChatGPT, Perplexity, Gemini), then systematically convert that traffic into qualified leads and demos on autopilot.
 
 
 In the last few months, we've grown from 5 &rarr; 12 people across Engineering, Design, and Content &mdash; and are now bringing on an SDR to scale our outbound motion. Our marketing efforts generate
 
 thousands of leads per month
 
 , and you'll work alongside a full-cycle AE, a GTM engineer, and the founder to convert those leads into demos.
 
 
 
 The Role
 
 
 
 Work directly with the CEO to run outbound and open doors at the right companies. High ownership, quota-carrying, with a track to Founding AE if you're killing it. In-office 5 days a week in SF (sometimes weekends) &mdash; we move fast and build together.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Run outbound across cold calls, LinkedIn, email, and in-person (SF events + occasional travel)
 </li>
 <li>
 Convert thousands of monthly leads into qualified demos
 </li>
 <li>
 Own the full pipeline: targeting &rarr; messaging &rarr; scheduling &rarr; follow-up
 </li>
 <li>
 Hit monthly meeting quotas and keep CRM clean
 
 
 </li>
 </ul>
 
 You're a Fit If You&hellip;
 
 
 
 <ul>
 <li>
 1&ndash;3 years in sales, GTM, or customer-facing roles (or strong hustle background)
 </li>
 <li>
 Have done the unglamorous work: built lists from scratch, ground out calls and emails all day, then did it again
 </li>
 <li>
 Comfortable with outbound and rejection
 </li>
 <li>
 Used tools like Clay, Sales Navigator, or Apollo
 </li>
 <li>
 Relentless, high-energy, and always growing
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience pitching B2B SaaS or GTM tech tools (HubSpot, Salesforce, marketing automation, etc.)
 </li>
 <li>
 Technical interest or experience (vibe coding, Claude Code, etc.)
 </li>
 <li>
 Willing to find ways to automate your job using AI automations/code
 
 
 </li>
 </ul>
 
 Comp
 
 
 
 <ul>
 <li>
 Base: $60K&ndash;$80K
 </li>
 <li>
 OTE: $90K&ndash;$110K (base + commission with accelerators)
 </li>
 <li>
 Equity: 0.05%&ndash;0.2% (4-year vest, 1-year cliff)
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Health, dental, and vision insurance
 </li>
 <li>
 401k Plan
 </li>
 <li>
 Food and travel reimbursement
 </li>
 <li>
 MacBook
 </li>
 <li>
 International team off-sites
 </li>
 </ul>
</div>

Tech Sales (SDR)

DocuSign

<div><h2 class="jobSectionHeader">Company Overview</h2><div> 
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div> 
 
<h2 class="jobSectionHeader">What You'll Do</h2> 
As a Full Stack Software Engineer at Docusign, you will be responsible for owning the end-to-end software development lifecycle from design and development to testing, deployment, and ongoing maintenance of exciting products. We're looking for an engineer who thrives in fast-paced, entrepreneurial environments and enjoys solving complex problems using modern tools and technologies. You'll collaborate closely with cross-functional teams and other team members to brainstorm, design, and implement new solutions and contribute to team growth through mentorship and best practice modeling. 
This position is an individual contributor role reporting to the Sr. Manager, Software Engineering.<div> 
Responsibility</div><ul><li>
Apply knowledge of databases, software frameworks, and platforms to build scalable, high-performance systems</li><li>
Grow technical expertise and contribute to team learning by sharing knowledge and best practices</li><li>
Participate in and contribute to code reviews, ensuring quality and fostering a culture of improvement</li><li>
Collaborate across teams and stakeholders to design and implement solutions that enhance systems, processes, and product performance</li><li>
Build and maintain software projects/products in production environments</li><li>
Develop, test, and maintain features using clean, modular, and well-documented code aligned with design principles</li><li>
Design, develop, and maintain scalable software applications using modern frameworks and technologies</li><li>
Write clean, high-quality, maintainable, and testable code following software engineering best practices</li><li>
Work within an Agile/Scrum environment, utilizing tools such as automated testing, CI/CD pipelines, version control, and participating in code reviews</li><li>
Collaborate with cross-functional teams including product managers, designers, and other engineers to deliver robust solutions</li><li>
Monitor and test code effectively, with a good understanding of testing frameworks and application monitoring tools</li><li>
Troubleshoot and debug applications to identify and resolve issues efficiently</li></ul> 
 
<h2 class="jobSectionHeader">Job Designation</h2><div> 
Hybrid:
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div> 
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</div> 
 
<h2 class="jobSectionHeader">What You Bring</h2><div> 
Basic</div><ul><li>
B.S. in Computer Science or similar field of study</li><li>
5+ years of professional experience in software development, using OOP languages and design patterns (e.g., C#, Java, C++)</li><li>
Experience with modern frontend technologies (e.g., React, JavaScript, and related frameworks)</li><li>
Experience with building and operating cloud-native microservices and APIs at scale</li><li>
Experience with SQL databases (e.g., Azure SQL Database, SQL Server) and NoSQL solutions (e.g., CosmosDB)</li><li>
Experience in unit testing, integration testing, and end-to-end testing, using frameworks and tools like JUnit, Mockito, Jest, Cypress, or Selenium</li></ul><div>
Preferred</div><ul><li>
Experience building/consuming RESTful web-services</li><li>
Familiarity with Microservice architecture</li><li>
Experience with Microsoft Azure or AWS</li><li>
Experience with the entire software development lifecycle, including version control (git) build process, testing, and code release</li><li>
Familiarity with Agile and Test-driven development methodologies</li><li>
Ability to align technical solutions with business needs, collaborating across teams to identify and solve project-level challenges</li><li>
Passion for continuous learning and development</li></ul> 
 
<h2 class="jobSectionHeader">Wage Transparency</h2><div> 
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div> 
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div> 
California: $146,400.00 - $235,375.00 base salary</div><div></div><div> 
Washington, Maryland, New Jersey and New York (including NYC metro area): $140,100.00 - $206,775.00 base salary</div><div></div><div> 
This role is also eligible for the following:</div><ul><li>
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.</li><li>
Stock: This role is eligible to receive Restricted Stock Units (RSUs).</li></ul><div>
Global benefits
provide options for the following:</div><ul><li>
Paid Time Off: earned time off, as well as paid company holidays based on region</li><li>
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement</li><li>
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment</li><li>
Retirement Plans: select retirement and pension programs with potential for employer contributions</li><li>
Learning and Development: options for coaching, online courses and education reimbursements</li><li>
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events</li></ul> 

 
<h2 class="jobSectionHeader">Life At Docusign</h2><div> 
Working here</div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div> 
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div> 
Accommodation</div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div> 
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div>

Software Engineer

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.We are looking for a highly technical, creative, hands-on, and impact-focused Senior Software Engineer to join our growing Ads team. Our team is revolutionizing the way users interact with our platform through innovative ad formats (includingQuests). We are driven by a passion for delivering exceptional user experiences while scaling our platform to new heights. These products enable us to generate revenue by building a win-win-win suite of distribution tools for game developers, players, and Discord. Join us in shaping the future of digital advertising and marketplace interactions! To learn more about Discord Engineering, take a look at ourengineering blog! What you'll be doing Design, build and maintain new Ads products and infrastructure from the backend to frontend. Collaborate with both engineers on and off the team - from our Revenue Infrastructure and Core Tech teams to our Machine Learning and Data Science teams. Be a strategic partner with engineering, product, and cross-functional leadership in designing, developing, and scaling digital advertising features that drive revenue growth and enhance user engagement. Architect simple and maintainable systems to enable us to launch quickly and iterate while sustaining a high product and technical quality bar. Model strong ownership by acting autonomously when possible and looping in others to build confidence on critical questions. Introduce coding and operational best practices to the team; always be learning and teaching. Own projects end to end &mdash; you&rsquo;ll be responsible for working with Product and other stakeholders to refine requirements, creating technical designs and specs, implementing changes, and seeing projects through to launch and maintenance. What you should have A focus on impact.You have a sharp eye for what changes can bring a product from good to great. You collaborate closely with product managers, designers, analysts, and other engineers to define great solutions to business problems. A sense of ownership.You believe in solving a problem completely rather than simply shipping a solution. You operate autonomously and follow through on your commitments. A growth mindset.You view mistakes as learning opportunities and build upon your successes. You challenge yourself and those around you to continuously improve. A love of mentorship.Helping fellow engineers, providing feedback and guidance on system architecture, API design, data modeling, and tradeoffs. 4+ years of experience, with 2 years in relevant roles. Bonus Points Expertise with Python and/or Rust, Typescript, React, React Native Familiarity with experimentation and analysis Contributions to open-source projects Interest or passion for the Discord platform The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Senior Software Engineer, Ads Measurement & Targeting

Uber

<div>About the Role
 
 
Uber Eats is looking for a strategic consumer product manager to join our dynamic and fast-paced team. In this role you will be responsible for driving lifecycle growth of critical user segments through innovative approaches that acquire and retain customers, increase orders, and improve user experience and engagement.
 
 
You will work closely with Product Design, Data Science, Engineering, Regional General Managers, Strategy &amp; Ops, and other partners across Uber's businesses and geographies. You will lead with deep customer compassion, relying on data and UXR to make informed decisions grounded in strong product intuition.
 
 
What the Candidate Will Do 
 
 
<ul><li>Collaborate with cross-functional teams, including Engineering, Design, Data Science, and Marketing, to identify growth opportunities, develop product initiatives, and implement data-driven experiments to improve key growth metrics
</li><li>Effectively present and communicate strategy, implementation and growth plans to various collaborators ranging from business audiences to senior leadership
</li><li>Distill the vision and strategy for the team to generate enthusiasm across cross-functional partners and executive leadership
</li>Anticipate and remove obstacles that slow down or prevent us from delivering on operational, product, and program objectives 
<li>
</li></ul> 
 
Basic Qualifications 
<ul><li>
Product. 6+ years of consumer product management experience delivering highly successful and innovative products with your fingerprints all over them.
</li><li>Leadership. Experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes.
</li><li>Customer obsession. A knack for taking on complex product challenges and finding elegant solutions that are delightfully simple for our users.
</li><li>A Driver&quot; mindset. You are biased toward action, a great collaborator, a master disambiguator/simplifier, and constantly pushing toward clarity and delivery. You never hesitate to roll up your sleeves and tackle something hands-on.
</li><li>A high bar across the board. From your own contributions to the people you work with, to the products you work on, you have a never-ending desire to grow and learn. 
</li></ul> 
 
Preferred Qualifications 
<ul><li>
Entrepreneurial experience building and leading businesses, including ownership and optimization of business performance metrics.
</li><li>Growth experience with a track record of delivering highly successful and innovative 0-to-1 products.
</li>A true passion for Uber's mission, our products, and the company's hybrid technology/operations nature. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Product Manager, Habituation

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