finance transformation - anaplan solutions architect, sr. manager

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finance transformation - anaplan solutions architect, sr. manager Jobs in San Francisco

s&t planner iii

anaplan model builder

<div><div>The Opportunity 
 
As a Finance Transformation - Anaplan Solutions Architect, Sr. Manager, you will collaborate with CEOs, CFOs, controllers, and treasurers to optimize finance functions and enhance their business contributions. Within our Finance practice, you will address challenges in achieving control standards, streamline back-office operations, and provide insightful business support. As a Senior Manager, you will leverage your skills to lead large projects, innovate processes, and maintain operational excellence while interacting with clients to drive project success. You will motivate and coach teams to solve complex problems, applying sound judgment and developing high-performing, diverse, and inclusive teams. 
 
In this role, you will focus on aligning financial planning, consolidation, reporting, and analytics processes to provide business insights that drive better decisions. You will navigate the complexities of cross-border teams and engagements, contributing technical knowledge in your area of specialization. Your ability to initiate open conversations with teams, clients, and stakeholders will build trust and contribute to the overall success of our firm. 
 
Responsibilities 
 
<ul><li>Leading the design and implementation of Anaplan solutions to optimize financial planning and analysis processes</li><li>Collaborating with CEOs, CFOs, and other senior executives to align finance functions with business objectives</li><li>Managing complex data analysis to provide actionable insights for strategic decision-making</li><li>Developing and executing financial modeling and forecasting to support business growth and efficiency</li><li>Overseeing the integration of financial management software to enhance operational performance</li><li>Guiding teams in process optimization and performance analysis to drive cost reduction and efficiency</li><li>Building and maintaining relationships with clients to address financial challenges and opportunities</li><li>Navigating cross-border engagements and diverse teams to deliver comprehensive financial solutions</li><li>Initiating and leading open conversations with stakeholders to foster trust and collaboration</li><li>Upholding ethical standards and business conduct in all client interactions</li></ul> 
What You Must Have 
 
<ul><li>At least a Bachelor's degree</li><li>At least 6 years of experience in Anaplan tool</li></ul> 
What Sets You Apart 
 
<ul><li>Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Risk Management/Insurance</li><li>Demonstrating advanced skills in Anaplan solutions architecture</li><li>Navigating complex financial data analysis and reporting</li><li>Innovating financial planning and forecasting processes</li><li>Leading cross-functional teams in finance transformation projects</li><li>Excelling in strategic advising and client interaction</li><li>Utilizing data visualization software for impactful insights</li></ul></div> 
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</div>

Finance Transformation - Anaplan Solutions Architect, Sr. Manager

Notion

<div>
 Who We Are
 
 
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 
 
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 
 
 
 About The Role
 
 
 
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 
 
 
 Role
 
 
 
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 
 
 <ul>
 <li>
 AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
 </li>
 <li>
 Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
 </li>
 <li>
 Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
 
 
 </li>
 </ul>
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Partner with your team to prototype and ship an AI-powered product improvement
 </li>
 <li>
 Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
 </li>
 <li>
 Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
 </li>
 <li>
 Previous internship experience.
 </li>
 <li>
 Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
 
 
 </li>
 </ul>
 Skills You'll Need To Bring
 
 
 <ul>
 <li>
 Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
 </li>
 <li>
 Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
 </li>
 <li>
 Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
 </li>
 <li>
 Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
 
 
 </li>
 </ul>
 Nice To Haves
 
 
 <ul>
 <li>
 You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
 </li>
 <li>
 You&rsquo;re a builder who finds joy in building software solutions for yourself or others
 </li>
 <li>
 You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
 A Note on AI
 
 
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 
 
 Equal Opportunity &amp; Accommodations
 
 
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
</div>

Software Engineer, New Grad (AI)

MaintainX

<div>
 MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
 
 
 We're growing fast and hiring the talent to match.
 
 
 As a
 
 Data Analyst - GTM
 
 , you will use your expertise in analysis &amp; BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data &amp; Analytics team - who are tasked with supporting MX as a whole.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner&mdash;anticipating needs &amp; prioritizing execution
 </li>
 <li>
 Accountable for marketing BI infrastructure: Build, maintain &amp; enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
 </li>
 <li>
 Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
 </li>
 <li>
 Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
 </li>
 <li>
 Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
 </li>
 <li>
 Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
 </li>
 <li>
 Budget setting: Support stakeholders with goal setting &amp; related reporting
 </li>
 <li>
 Information sharing: Present dashboards, results and recommendations
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
 </li>
 <li>
 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
 </li>
 <li>
 You're a builder, not just an analyst: You don't just answer questions&mdash;you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
 </li>
 <li>
 You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
 </li>
 <li>
 You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
 </li>
 <li>
 Strong proficiency in Tableau and Salesforce
 </li>
 <li>
 Excellent SQL skills and experience with database management systems &amp; pipelines
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Competitive salary and meaningful equity opportunities.
 </li>
 <li>
 Healthcare, dental, and vision coverage.
 </li>
 <li>
 401(k) / RRSP enrollment program.
 </li>
 <li>
 Take what you need PTO.
 </li>
 <li>
 A Work Culture where:
 </li>
 <ul>
 <li>
 You&rsquo;ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
 </li>
 <li>
 We believe in meritocracy, where ideas and effort are publicly celebrated.
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 Our mission is to deliver one platform for maintenance, repair &amp; operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That&rsquo;s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
 
 
 MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>

Data Analyst, GTM

Ramp

<div><h1 class="jobSectionHeader">About Ramp</h1>
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you&rsquo;ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year &ndash; far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.<h1 class="jobSectionHeader">
About the Role
</h1>Own the startup. The whole startup motion. We want 90%+ of every newly incorporated company in the US to start their financial life on Ramp, and we are giving one person the keys to make that happen.
This is not a marketing seat. You will be the general manager with the P&amp;L. You own acquisition, product strategy, onboarding, pricing, incentives, positioning, lifecycle, and the pipeline number for the startup segment end to end. If a founder incorporates on a Tuesday, your job is to make sure they have a Ramp card by Wednesday and never need to think about a competitor. Every lever it takes to make that true is yours to pull, and the ones that don't exist yet are yours to build.
You will be based in San Francisco because this is fundamentally a community motion. The startup market does not get won on a billboard. It gets won at the demo day after-party, in the YC group chat, at the founder dinner, in the angel's DMs, and at the accelerator that just announced its batch. We want someone the community already knows and trusts, ideally because you were one of them. You started a company. You raised money. You know what it feels like to incorporate on a Sunday night and need a card to buy your first server. You are still plugged into the up-and-comers, and they take your call. You will be the glue between the builders at Ramp and the builders out in the community.
You will sit directly under the VP of Growth and run the segment like its own business. You will work directly with Product on what startups need first and how onboarding should feel. You will own the pricing and incentive structure for the segment. And you will be AI-native by default: you have already replaced a real chunk of your operating workflow with Claude or equivalents, and you have a point of view on how an agent-first GM org runs.
If you want to build, and you want to do it inside the company that is going to define how every American startup handles money, this is the role.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Own positioning. Define how Ramp shows up to a brand-new founder versus how we show up to a Series B CFO. Write the words. Own the comparison story against Brex, Mercury, and Every.</li><li>
Own acquisition. Build the full motion: community and events, founder and angel networks, accelerator and incubator partnerships, programmatic and comparison SEO, paid, referral, and incentive-driven growth. Be physically present where startups form.</li><li>
Own product strategy for the segment. Decide what startups need first from Ramp, what the day-zero product experience should be, and where the gaps are. Carry that to Product as the segment's voice.</li><li>
Own onboarding. Make incorporation-to-funded-card the fastest, most obvious path in the market. Remove every step that loses a founder.</li><li>
Own pricing and incentives. Design the offer that makes Ramp the default choice at incorporation. Run the incentive programs, partner credits, and founder perks that tip the decision.</li><li>
Be the face. Represent Ramp in the startup community. Host the dinners. Speak at the demo days. Be the person founders associate with &quot;the Ramp that gets startups.&quot;</li><li>
Own the number. Tie it all together: drive toward 90%+ of all newly incorporated US startups starting on Ramp. Build the model, instrument the funnel from incorporation to activation, and report a single clean metric you live and die by.</li></ul><h2 class="jobSectionHeader">
What You Need</h2><ul><li>
You have started a company, or you have operated at the founding-team level of an early startup and lived the incorporation-to-traction journey firsthand</li><li>
You are deeply, currently embedded in the startup community: accelerators, angels, founder networks, the SF startup social scene. You can name the up-and-coming companies before they are obvious, and the community knows you back</li><li>
5+ years across some combination of founding, growth, GTM, or general management, with clear evidence you can own an outcome end to end rather than one function</li><li>
A GM instinct: you think in P&amp;L, you make tradeoffs across product, pricing, and marketing, and you are comfortable owning a number with no one to hand it to</li><li>
Demonstrable AI fluency: specific tools, workflows, or systems you have built or adopted that materially changed your output</li><li>
Sharp written and verbal communication. You can write the landing page and command the room at the dinner</li><li>
You live in or will relocate to San Francisco and will be in-market, in-person</li></ul><h2 class="jobSectionHeader">
Nice-to-Haves</h2><ul><li>
You went through YC, Techstars, Neo, South Park Commons, or an equivalent program, or you ran one</li><li>
You have an existing audience or following in the founder community</li><li>
You have built a wildly popular AI tool, or agent that automated a repeatable workflow</li><li>
Experience with fintech, banking, or developer-led product distribution</li><li>
Familiarity with comparison and AEO SEO as a land-grab tactic</li><li>
You have angel invested or advised early companies</li></ul>
Who this is not for...<ul><li>
This is not a marketing role with a fancy title. You own a P&amp;L and a single brutal number.</li><li>
It is not a remote or hybrid-anywhere role. The startup motion is physical and social and is largely centered in San Francisco. If you do not want to be at the dinners and demo days, this is not it.</li><li>
It is not for someone who needs a defined playbook handed to them. You are building the machine, not running someone else's.</li></ul><h1 class="jobSectionHeader">
Benefits available to all full-time Ramp employees (Global)</h1><ul><li>Flexible PTO</li><li>Unlimited AI token usage</li><li>Centralized home-office equipment ordering</li><li>Health and wellness stipend</li><li>Budget for intra-office travel</li><li>Weekly coffee stipend</li></ul><h1 class="jobSectionHeader">
United States</h1><ul><li>100% medical, dental &amp; vision insurance coverage for you, with partial coverage for dependents</li><li>One Medical annual membership</li><li>401(k), including employer match on contributions made while employed by Ramp</li><li>Fertility HRA (up to $10,000 per year)</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay</li><li>Pet insurance</li><li>In-office perks: lunch, snacks, drinks, and more</li><li>Relocation support to NYC or SF (as needed)</li></ul><h1 class="jobSectionHeader">
Canada</h1><ul><li>Group medical, dental, and vision coverage through Sun Life</li><li>Life, AD&amp;D, and disability coverage</li><li>Fertility drug coverage (up to $4,000 lifetime)</li><li>Group Retirement Plan with employer match (RRSP + DPSP)</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay</li><li>Employee Assistance Program and virtual care through Lumino Health</li></ul><h1 class="jobSectionHeader">
United Kingdom</h1><ul><li>Private medical insurance through Freedom Elite</li><li>Virtual GP and at-home care via eMed x Livi</li><li>Workplace pension through Penfold, with salary sacrifice option</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay</li></ul><h2 class="jobSectionHeader">
Referral Instructions</h2>
If you are being referred for the role, please contact that person to apply on your behalf.<div> 
</div><h2 class="jobSectionHeader">
Other notices</h2>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<div></div> 
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.<div></div> 
Ramp Applicant Privacy Notice
Compensation Range: $168K - $231K</div>

Growth Manager, Verticalization & Startups GM

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

Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.<h2 class="jobSectionHeader">
About the Team</h2>
The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Senior Software Engineer to help build and evolve our internal developer platform&mdash;everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.
This role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine &ldquo;builder&rdquo; energy with strong empathy for how engineers actually work.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Developer productivity &amp; platform tooling<ul><li>
Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.</li><li>
Create and maintain &ldquo;golden paths&rdquo; like service templates, CLIs, libraries, and automation that teams rely on.</li></ul></li><li>
CI/CD &amp; release engineering<ul><li>
Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.</li><li>
Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.</li><li>
Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.</li></ul></li><li>
Observability &amp; operational excellence<ul><li>
Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.</li><li>
Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.</li></ul></li><li>
Infrastructure foundations<ul><li>
Build and improve core platform capabilities that make it easy to run and scale services.</li></ul></li><li>
Ownership &amp; reliability<ul><li>
Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.</li></ul></li></ul><h2 class="jobSectionHeader">
Your background looks something like this</h2><ul><li>
4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).</li><li>
Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).</li><li>
Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.</li><li>
Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).</li><li>
Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).</li><li>
A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).</li><li>
Strong cross-team collaboration and communication&mdash;especially writing clear docs and driving adoption.</li></ul><h2 class="jobSectionHeader">
Even better if you have</h2><ul><li>
Experience with monorepos and build systems and/or large-scale CI performance work.</li><li>
Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.</li><li>
Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).</li><li>
Experience applying AI-assisted tooling to make engineers dramatically more effective.</li></ul><h2 class="jobSectionHeader">
Compensation</h2>
$200K &ndash; $400K + Offers Equity 
 
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
 
 
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $400K</div>

Senior Software Engineer, Platform Engineering

Plaid

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco HQ; New York City Office; Seattle Office
</div><div><h2 class="jobSectionHeader">Address</h2>
1098 Harrison Street, San Francisco, California, 94103
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
All DepartmentsData
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$211,680 &ndash; $272,160</li>
</ul><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div></div></div>
 <div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
The Data Foundation &amp; AI team sits within Plaid&rsquo;s Data organization and is responsible for building the shared machine learning and AI infrastructure that powers innovation across Plaid&rsquo;s product portfolio. The team transforms Plaid&rsquo;s unique financial network data into scalable, general-purpose representations that can be leveraged by teams throughout the company. Working across the full model lifecycle, the team develops and curates pretraining datasets, trains and evaluates foundation models, and operates production-grade serving and monitoring systems to ensure reliable, high-impact AI capabilities at scale.
As a Research Scientist, you will advance Plaid&rsquo;s foundation models by developing novel model architectures, pretraining objectives, and fine-tuning strategies that generalize across a broad range of financial and product applications. You will contribute to the design, development, and operation of production machine learning systems, working across the full stack from data and feature engineering to training pipelines, model serving, and monitoring. The role also involves creating comprehensive evaluation frameworks that assess model performance across diverse tasks and use cases, ensuring robust and reliable outcomes. In close partnership with product and engineering teams, you will adapt foundation models to solve specific business challenges, validate their impact through rigorous experimentation, and translate research advances into production capabilities. You will also share insights and results with both internal and external audiences, helping drive innovation and elevate the practice of machine learning and AI across Plaid.
Responsibilities:
<ul><li>Building a foundation model on one of the world&rsquo;s richest financial datasets that no one else has.
</li><li>Doing research that ships: moving from experimentation and prototypes to production systems serving real customers.
</li><li>Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring.
</li><li>Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams.
</li><li>Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products.
</li></ul>Qualifications:
<ul><li>MS or PhD in ML/AI/CS/Stats/Applied Math (or closely related). PhD preferred but not required &mdash; candidates with equivalent industry research and production experience will be considered.
</li></ul><ul><li>1-3 years of industry experience building and deploying ML models, with evidence of both research depth and production delivery
</li><li>Strong applied ML research skills with production delivery experience
</li><li>Depth in Transformers/LLMs, representation learning, or large-scale model training
</li><li>Distributed training experience and strong Python + software engineering fundamentals
</li><li>Fintech / financial data domain experience - Nice to have
</li><li>Demonstrated ability to ship models to production (not just prototype) - Nice to have
</li><li>External publications or open-source contributions - Nice to have
</li></ul>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. 

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Compensation Range: $211,680 - $272,160</div></div>

Machine Learning Engineer (Research Scientist) - DFAI

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