Oscilar

Role Description Shape the future of trust in the age of AI. At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place. Why join us: - Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. - Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. - Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. The role: There's a role that doesn't really exist at most fraud vendors: the one person who can walk into a customer with a Senior Fraud Analyst, a Director of Fraud Strategy, a CRO, and a Chief Compliance Officer in the same room — and have all four leave the conversation thinking "they get it." Not the engineer who'll write the rule. Not the AE who'll close the deal. Not the consultant who shows up for the quarterly review and disappears. The fraud subject matter expert who has lived the work, who can speak the language of an analyst at 4pm and a CRO at 8am, who's built enough trust across years of doing the job to be the person customers actively ask to be on the call. Advisory. Field-facing. Thought-leading. You're the practitioner voice across everywhere Oscilar talks about fraud externally and internally — the trusted SME whose judgment shapes strategy, decisioning, risk ops, and the AI agent direction, but who isn't the engineer writing the code. You operate across four surfaces: - Sales support — as the credibility partner: - On 10+ sales calls a week alongside our AEs and SEs. - When the prospect's fraud team starts probing on whether we actually understand their world, you're the one who closes the credibility gap. - Customer support — as the trusted advisor: - Existing customers pull you into implementation calls, QBRs, technical deep dives, and escalations. - The accounts you're on are the ones where the customer wants you specifically. - Product advisory — as the operator voice: - You can roll your sleeves to support building the rules, models, or agents with the product and engineering teams. - Your job is to be the risk operator inside the product team. - External thought leadership: - Conference panels (MRC, Money 20/20, ACFE), podcast appearances, LinkedIn posts, white papers. - You're the recognizable Oscilar fraud voice externally. Qualifications - You've spent most of your career in fraud analytics and fraud strategy. - You've held titles like Director of Fraud Strategy, Head of Fraud Analytics, VP Fraud Risk, Principal Fraud Strategist. - You've worked across more than one institution and across more than one rail. - You're externally credible, having published, presented, or having a real voice in the fraud community. Requirements - You don't have to be a deep ML engineer but should know enough about how fraud analysts & models work. - You don't have to be a rules engine wizard but should have an opinion on what makes a good rule strategy. - You should be deeply credible across levels. Benefits - Compensation: Competitive salary and equity packages, including a 401k plan. - Flexibility: Remote-first culture — work from anywhere. - Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US). - Balance: Unlimited PTO policy. - Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product. - Culture: Family-Friendly environment; Regular team events and offsites. - Development: Unparalleled learning and professional development opportunities. - Impact: Making the internet safer by protecting online transactions.

• You're the domain credibility on sales calls when a compliance officer at a fintech, bank or a Canadian credit union asks whether we understand their SAR process. • You'll show up on customer conversations alongside our solutions engineers and AEs to drive adoption and customer success. • You'll define what "good" looks like for AML agent behavior on FDE and Agents deployments. • You're the person who knows whether that decision would hold up in a real investigation — and can articulate why to both the product team and the customer. • You'll support implementation calls, QBRs, and technical deep dives where AML judgment is the constraint. • You'll feed the roadmap from the bottom — what breaks in a 300-alert queue and which typologies our detection misses for the specific populations you've worked.

• Publish multiple pieces of content every week across formats and channels • Own the weekly editorial meeting and the quarterly content roadmap • Source topics from exec POVs, customer calls, Slack, #pulse, and your own reading • Brief, review, and polish writing — yours and others' — to a consistent Oscilar voice • Run experiments: new formats, new channels, new distribution tactics • Read the numbers: what ranked, what got cited, what drove pipeline, what flopped • Own the blog as a pipeline channel — editorial calendar, topic strategy, production, and performance • Ship SEO articles that rank and AEO articles that get cited by LLMs • Partner with the Performance Marketing Manager on keyword strategy and landing page architecture • Build the content repurposing pipeline: blog → ebook → webinar → social → newsletter • Ghost-write LinkedIn posts, essays, and op-eds for Neha, Sachin, Saurabh, and other execs • Build each exec's voice into a distinct, recognizable point of view on risk, fraud, and AI in finance • Run the weekly cadence: pulse sourcing, drafts, review, publish, measure • Coordinate with PR and events teams on speaking opportunities and earned media • Stand up Oscilar's presence on Twitter/X and Reddit from scratch — brand handle, exec handles, subreddit engagement strategy • Experiment with short-form video, podcast clips, and community-native formats • Build a playbook for each channel that is distinct from LinkedIn, not a copy-paste • Lead creative brand campaigns across video, podcasts, physical books, and formats we have not tried yet • Produce brand marketing content that makes Oscilar feel bigger than its headcount • Brief and manage external creative partners: videographers, designers, illustrators, sound engineers • Own the taste bar on what ships with the Oscilar name on it • Launch and grow an external email newsletter that our ICP actually wants in their inbox • Run customer marketing content: case studies, customer spotlights, user stories, and lifecycle email • Coordinate with CS and Sales on customer narratives that work for both prospects and existing accounts • Build and run content production pipelines powered by Claude Cowork, Claude Code, and agentic AI • Design workflows that turn one anchor asset (a research report, a webinar, a book chapter) into 30 downstream pieces • Maintain the taste filter: AI produces the volume, you produce the quality bar • Ship the internal tools and prompts the rest of the marketing team needs to go faster.

• Understand stakeholder data needs across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, and translate those needs into clear technical requirements. • Define, build, and manage key data pipelines in dbt that transform raw data into canonical datasets. • Use AI tools, LLMs, and agents to accelerate analytics workflows, including data exploration, pipeline development, QA, documentation, dashboard creation, and stakeholder enablement. • Read, write, debug, and validate SQL, Python, dbt models, and AI-generated code to ensure outputs are accurate, reliable, and production-ready. • Establish high data integrity standards, SLAs, and QA processes to ensure timely and accurate data delivery. • Develop reliable dashboards to track core business, GTM, and operational metrics. • Build foundational data products, dashboards, automations, and internal tools that enable self-serve analytics across the company. • Bring a strong point of view on build vs. buy decisions across the GTM data stack, identifying where Oscilar should use off-the-shelf tools versus where we should build internally for speed, leverage, or differentiation. • Partner with GTM and Finance leaders to influence roadmap decisions from a data systems and analytics perspective. • Become an expert in Oscilar’s data models, business metrics, GTM systems, and broader data architecture. • Help shape a modern, AI-native analytics engineering function as Oscilar scales.

• Develop the roadmap that balances no-code accessibility with sophisticated AI capabilities • Research and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunities • Create the strategy for transitioning from traditional rule engines to AI-orchestrated decisioning • Define success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use cases • Collaborate with engineering to build a platform that's both powerful and performant • Work with risk domain experts (fraud, AML, credit) to ensure workflows meet practitioner needs • Partner with customer success to gather feedback and iterate on platform capabilities • Coordinate with sales and marketing to articulate the platform's unique value proposition • Lead agile ceremonies and maintain clear communication across all stakeholders

• Own a quota tied to net-new OEM and reseller agreements signed and activated • Source, qualify, and close new OEM and reseller partners aligned with Oscilar's ICP — core banking, LOS/LMS, BaaS, and fintech infrastructure • Drive commercial negotiations end-to-end: deal structure, pricing, legal redlines, and close • Work with the Partnerships team to convert warm pipeline into signed agreements — fast • Engage partner-side decision makers (C-suite, product, legal, and commercial leads) and drive urgency through the deal cycle • Develop and execute account plans for high-priority target partners in your territory • Maintain accurate pipeline and deal stage hygiene in Salesforce; forecast reliably • Collaborate with Product, Legal, and Deal Desk to structure OEM agreements, including commercials, SLAs, and technical scope • Represent Oscilar at partner meetings, industry events, and executive briefings • Feed learnings back to the Partnerships and GTM team to sharpen ICP targeting and deal playbooks

• Own threat modeling across our core platform APIs, risk decisioning and event-ingestion systems, and agentic AI products; harden multi-tenant isolation and data-handling across designs and PRs. • Design, implement, and deploy authentication, authorization (user and API), and RBAC across our platform: own and propose new approaches as we scale • Stand up our AppSec program from the ground up: SAST (Semgrep), SCA (Dependabot/Snyk), secret scanning, IaC scanning, and container scanning on Pulumi + EKS • Build guardrails around LLM usage — prompt-injection defenses, output validation, and cost and abuse monitoring on Bedrock/Anthropic/OpenAI calls • Drive security incident process, vulnerability triage, and the responsible-disclosure workflow • Write SECURITY.md, maintain a threat registry, and champion secure-by-default patterns across the engineering org • Partner with IT on shared areas — incident response across corporate and product, access reviews, and audit evidence collection • Collaborate with product and engineering teams on feature design, embedding security early rather than gating at the end • Keep us aligned with current security standards and trends (OWASP, MITRE ATT&CK, and emerging LLM/agent security guidance)

• Act as the primary owner for assigned customers — accountable for onboarding, adoption, value realization, renewal, and expansion. • Build trusted relationships with customer executives and decision-makers, ensuring alignment at both technical and business levels. • Manage regular cadence: weekly cadence, Exec summaries - customer & internal, adoption strategy and plan, and executive business reviews (EBRs). • Partner with AEs and SEs on renewals, upsells, and cross-sells. • Advocate internally for customer priorities and represent their voice in roadmap discussions. • Develop and maintain detailed account success plans in partnership with the account team. • Work with customers on business value realization exercise and case studies, in partnership with the Oscilar customer marketing and account teams. • Lead customer onboarding and implementation projects, ensuring fast time-to-value. • Deliver product demos and walkthroughs. • Build workflows, reports, and dashboards to support customer adoption. • Handle non-complex technical tasks directly: API integrations, SQL queries and debugging, Python scripting. • Collaborate with Solutions Architects for complex technical implementations. • Serve as a technical liaison between customers, Engineering, and Product teams.

• Lead technical discovery with prospective customers, uncovering integration requirements, data architecture constraints, and risk decisioning objectives across onboarding, fraud, credit, and compliance use cases. • Own the end-to-end technical implementation for new customers partnering with the Technical Account Manager, Account Executive and Sales Engineer, from kickoff through go-live: integration design, data mapping, agent workflow configuration, and UAT support. • Design and deploy multi-step agentic workflows for customers — automating onboarding, fraud investigation, credit decisioning, case management, alert triage, and compliance monitoring end to end. • Synthesize patterns across customer deployments and deliver structured product feedback, feature requests, and gap analyses to Oscilar's product and engineering teams.

• Act as the first line of technical support for Oscilar’s customers. • Analyze, triage, root cause, and resolve issues reported through the support system. • Collaborate with Support Engineering Lead, Solutions Engineering, and Product/Engineering teams to drive resolution of complex issues. • Write and run SQL queries and Python scripts to troubleshoot and reproduce customer problems. • Debug API integrations to identify misconfigurations, errors, or product bugs. • Maintain clear, timely, and professional communication with customers in Tagalog and English. • Document issue resolution steps and contribute to the internal knowledge base. • Provide feedback to Product and Engineering to help improve the platform and reduce recurring issues. • Participate in an on-call rotation to support critical incidents.