Signal And Growth Insights Manager Jobs

1743 - This position is in Austin, Texas. Position Summary We are seeking an experienced Board-Level Hardware Validation Engineer to define and execute the validation and verification of complex electronic systems throughout the product lifecycle. This role is responsible for defining validation strategies, developing test plans, executing hands-on testing, analyzing failures, and working directly with ODM partners to ensure products meet performance, reliability, quality, and compliance requirements before mass production. The ideal candidate combines strong electrical engineering fundamentals with practical lab expertise and is comfortable personally performing validation activities while coordinating with cross-functional teams and manufacturing partners. Key Responsibilities Validation Strategy & Planning Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases. Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing. Establish test coverage, acceptance criteria, qualification requirements, and release gates. Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle. Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates. Hands-On Validation Execution Develop, automate, and execute validation tests on prototype and production-intent hardware. Perform board bring-up, functional verification, electrical characterization, and system-level integration testing. Validate communication interfaces, control signals, and timing requirements. Verify power sequencing, reset behavior, leakage current, and recovery across operating states. Execute temperature and voltage corner testing against approved operating limits. Use oscilloscopes, logic an

Job Summary Reporting to the Memory Validation leadership team, the Senior Silicon DDR/HBM Validation Engineer will be responsible for the bring-up, validation, characterization and debug of advanced memory subsystems used in next-generation AI compute platforms. The role will focus on DDR and HBM technologies, working closely with silicon design, firmware, characterization, platform and systems teams to ensure robust memory subsystem functionality, performance and reliability. The successful candidate will take ownership of significant validation activities, contribute to debug and root-cause analysis efforts, and help improve validation methodologies, automation and infrastructure. The Team The Memory Validation team sits within the Validation organisation and is responsible for the bring-up, validation, characterization and debug of memory subsystems across Graphcore silicon and platform products. The team supports DDR and HBM validation activities throughout the product lifecycle, from first silicon through production readiness. Engineers work closely with architecture, RTL, firmware, characterization, systems and platform teams to ensure memory technologies meet functionality, performance, reliability and performance objectives. Responsibilities and Duties Execute validation and bring-up activities for DDR and HBM memory subsystems Verify memory bring-up software, firmware and scripts against defined project requirements Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities Analyse system logs, validation data and characterization results to identify failures and performance issues Perform PHY characterization and analog-level analysis during stress testing and validation activities Develop and execute functional, stress, performance and corner-case validation tests Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation Char

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

We’re looking for an Account Intelligence & Outbound Specialist to help us create meaningful outbound engagement and pipeline opportunities across priority global strategic accounts. You’ll use Talkwalker insights, market signals, account research and hands-on outbound to build commercially relevant, account specific-outbound that creates movement in the accounts that matter most by identifying the right people, moments and messages to activate complex enterprise accounts working alongside two Global Strategic Account Managers. You will be reporting to the Director, Outbound Strategy. Please note that the role may include 10% of travel to events; other Hootsuite offices, etc. WHAT YOU’LL DO: Conduct deep research across priority global strategic accounts to understand their business context, market environment, brand activity, audience sentiment, competitive landscape and relevant commercial signals. Leverage Talkwalker insights, social listening, news, campaign activity, reputation signals and account history to identify timely and relevant reasons to engage prospective customers. Identify and map complex buying groups, decision-makers, influencers and stakeholders across global strategic accounts, including marketing, communications, social media, insights, customer care, digital, analytics, procurement, legal, security, Data Privacy, regional teams and executive leadership. Design and execute insight-led, account-specific outbound strategies across email, phone, LinkedIn and other relevant channels, using commercial relevance rather than generic product messaging. Develop high-value account intelligence assets including signal summaries, one-page account memos, Talkwalker insight snapshots, competitor views, pre-mortems, executive questions and buying-group maps to support strategic account activation. Act as a strategic partner to Global Strategic & Principal Account Executives by jointly prioritizing accounts, align on account strategy, and deter

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About The Team.... Global Compute runs Optimised Hosting, GoDaddy's global platform for all customer hosting products. Squad R is the engineering team responsible for operating, scaling, and continuously improving the OpenStack-based clouds that power that platform. We treat reliability as an engineering problem: we automate toil away, we plan capacity ahead of demand, and we instrument everything so that we understand our systems before they surprise us. As an SRE III on the team, you'll be a senior technical contributor who others lean on for the hard problems. What you'll get to do... Operate and scale GoDaddy's cloud infrastructure, including our OpenStack-based hosting platform. You'll troubleshoot and improve services spanning compute, networking, and storage in large-scale production environments. Drive the OpenStack migration. Help move customer hosting workloads onto the platform safely — designing and executing migration tooling, validation, and rollback strategies that protect customer experience. Work within a large-scale global hosting environment supporting thousands of servers and customer workloads across multiple regions. Eliminate toil through automation. Build and maintain automation in Python and Puppet to replace manual operational work. Treat repeated manual effort as a bug to be fixed. Strengthen observability. Improve monitoring, alerting, and dashboards so that signal reaches the right engineer at the right time, and so that we can reason about system behavior from data. Participate in on-call and incident response. T

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Almost every company can now produce training video at scale. Almost none of them can tell you whether any of it made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organisations finally get signal on genuine readiness instead of a simple metric tied to course completion. This is a 0-to-1 bet on what comes after content, which is practice, and proof. You'll own a domain within it from strategy to ship. Why now: Real-time, agentic AI has only just become good enough to hold a convincing live scenario. The window to define this category is open now, and we intend to own it. The problem you're solving Today, the most you can do to assess whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviours that matter in real roles, in real moments, are rarely tested reliably. We have the underlying technology to change that. What we need is a PM who can turn that into a product that an enterprise will use to prepare their people, and that a end user actually wants to engage with. What you'll be doing Owning the multi-quarter strategy for a

About Ramp 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’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 – 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. About the Role Most companies have more GTM ideas than they can reliably execute. Launching a new motion still requires manual targeting, weeks of enablement, seller coordination, and messy measurement. Learnings live in people's heads. When something works — or stops working — the playbook doesn't change fast enough. Ramp is building the AI platform that GTM runs on — a ground-up application layer where agents handle execution, playbooks encode institutional knowledge, and every interaction feeds a learning loop that makes the system smarter each cycle. We're operating at the frontier of what agents can do in a real enterprise context, and the problems are unsolved: reliable background execution at scale, human-agent collaboration that earns trust, and feedback loops that turn raw GTM signal into a compounding organizational advantage. As a PM for Revenue, you'll own the data and execution layer that makes the GTM platform work: the scoring and routing systems that get the right accounts to the right people, the data infrastructure and acquisitions

About Ramp 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’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 – 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. About the Role Ramp builds software that moves real money, from bill payments and corporate cards to reimbursements, accounting integrations, and travel. Our customers rely on us to keep their operations running: invoices get paid, books get closed, and finance leaders can trust the data behind every decision. In this role, you will be the person who spots where customers are getting stuck and drives issues to a clear resolution. You will learn a complex product deeply enough to troubleshoot across payments, bank linking, accounting syncs, and card programs, then partner with teams across Engineering, Risk, Product, and Partnerships to get problems solved. This is not script-based support. You will triage, investigate, and make high-signal judgment calls throughout the day. You will thrive in this role if you are a systems thinker and deeply customer obsessed. Support is the baseline. How you think about improving processes, tools, and outcomes is what sets you apart. What You’ll Do Be the voice of Ramp's Customer Support. You'll spend your day enga

We believe that the way people interact with their finances will drastically improve in the next few years. We’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’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. Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams transform into improvements across Protect, IDV, Signal, and Guaranteed Payments. We believe transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention, and we ground our products in what adversaries are actually doing right now. As the Fraud Intelligence Lead, you will build and run a small, high-leverage team of Fraud Intelligence Analysts (and eventually a Staff Researcher) responsible for live casework across Protect, IDV, and Payments/ACH. You'll operate as a player-coach, hiring and coaching your team while staying close enough to the work to personally pick up casework and SEV response when needed. Responsibilities Team Building & People Leadership Set the casework quality bar: define what rigorous investigation, triage, and reporting look like for the team Coach analysts on investigation technique, pattern synthesis, and translating findings into product/model input Operating Model & Cross-PA Partnership Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assignments as volume shi

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

We believe that the way people interact with their finances will drastically improve in the next few years. We’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’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. Description of the team The Dashboard Foundations team is the product platform team that stewards the Plaid Dashboard ( dashboard.plaid.com ). As both the portal for applying for production access and also the host for many products, the Dashboard is a critical touchpoint for our customers. Our mission is to build the platform of every product engineer’s dreams, with rich tooling, abstractions, and resources available to support every phase of the software development lifecycle so that developing a high quality, secure product is fast and easy. Our customers are over a dozen teams building in the Dashboard, representing products in areas such as Fraud, Credit, Signal, Account Verification, Transfer products, and more. We are a full stack team made up of former product engineers, drawing upon our experience to set our north star vision. We have in-person members in New York and San Francisco as well as some members distributed in various locations across the United States. Responsibilities You will lead a team of 8 engineers, ranging from Junior to Staff, developing them through clear goal setting, coaching, and feedback. You’ll define and drive the long-term strategy for this foundational area, in c

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We’re seeking a Staff Security Detection Engineer to build and mature SoFi’s machine learning–driven detection and anomaly detection program. You will own the detection and model lifecycle end to end; feature engineering, model training, tuning, and validation, operating over large-scale security data lakes and streaming pipelines. You’ll partner closely with our Security Operations Center (SOC), Security Operations Engineering, and Fraud programs to turn high-volume telemetry into high-confidence, low-noise detections at scale. What you’ll do: Design, build, and maintain machine learning models for anomaly detection (unsupervised clustering, time-series and seasonality baselines, isolation forests, autoencoders, risk scoring) with measurable precision/recall targets. Operationalize models and detections from notebook to production, including enrichment, correlation, and response playbook hooks (detection-as-code, CI/CD, model versioning, and rollback). Engineer and tune features from identity, endpoint, network, cloud, SaaS, and application telemetry stored in the security data lake to improve model signal quality. Partner with the SOC to triage, tune, and close detection feedback loops; use analyst dispositions as labels to retrain and improve models, reduce noise, and document runbo

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. As Senior Marketing Technology Manager, you will shape the systems that power performance marketing across Paid Acquisition, Paid Social, and SEO. You will own the technical foundation behind tagging, tracking, signal quality, and platform integrations, while helping evolve our broader MarTech ecosystem across customer data, consent, and automation. This role is built for a marketing technologist who moves fluidly from problem definition to implementation to measurement, and who can turn emerging AI capabilities into reliable, governed workflows that improve speed, accuracy, and business impact. Reporting to the Head of Mar

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Governance, Risk and Compliance (GRC) team sits at the intersection of security, data, and business impact — and we're building an automated, engineering-grade risk program that produces real-time risk scoring, quantified exposure models, and ROI-linked investment decisions that reach the CISO, executive leadership, and the board. We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write production-level code, build signal ingestion pipelines, and develop probabilistic risk models that give our security organization a quantified, confidence-backed view of our risk posture — all in service of protecting Instacart's customers and products at scale. If you're energized by the challenge of transforming a manual, reactive discipline into a data-drive